Simple Portfolio System | QuantumResearchStatic Allocation Engine for Smarter Crypto Exposure
The Simple Portfolio System (SPS) by QuantumResearch is a lightweight yet powerful asset allocation framework, designed for investors who want a smarter, more disciplined alternative to passive buy-and-hold. SPS allocates capital across four customizable assets — BTC, ETH, SOL, and SUI — using a volatility-adjusted momentum engine powered by the proprietary AVWO indicator.
🔍 Key Features:
✅ Adaptive Allocation Logic
Every day, the system evaluates trend strength using the AVWO oscillator. Each asset showing a bullish signal receives a fixed 25% portfolio allocation.
📉 Dynamic Cash Protection
If no asset is trending, SPS automatically shifts to 100% cash, minimizing exposure during sideways or bearish market phases.
📈 Equity Curve Overlay
Compare the strategy's performance against traditional Buy & Hold — both equity curves are plotted for clear benchmarking.
🧠 Proprietary Signal Engine
Powered by AVWO, a custom volatility-weighted oscillator developed by QuantumResearch, designed to filter noise and highlight adaptive trend signals.
📋 Live Performance Dashboard
Real-time metrics include:
Sharpe Ratio
Sortino Ratio
Omega Ratio
Max Drawdown (%)
Current Asset Allocations & Weights
⚙️ System Logic Overview:
Up to four assets analyzed: BTC, ETH, SOL, SUI
If one or more assets are detected as trending, each receives 25% allocation
If none are trending, capital remains unallocated (cash)
Allocation signals are recalculated daily
Backtest begins: 03 May 2023
📌 Use Case:
This system is ideal for:
-Investors seeking to avoid overexposure during weak or range-bound markets
-Traders who want to capture clear trend opportunities
-Portfolio builders looking to benchmark adaptive exposure vs. passive HODL strategies
Built by QuantumResearch — engineered for simplicity, clarity, and tactical trend participation.
⚠️ Important Disclaimer:
Past performance is not indicative of future results. All trading strategies carry risk.
This tool is provided for educational and research purposes only.
Not financial advice. Always conduct your own analysis and consult with a financial advisor before making investment decisions.
ค้นหาในสคริปต์สำหรับ "smart"
Entropy Bands (TechnoBlooms)Entropy Bands — A New Era of Volatility and Trend Analysis
Entropy Bands is our next indicator as a part of the Quantum Price Theory (QPT) Series of indicators.
🧠 Overview
Entropy Bands are an advanced volatility-based indicator that reimagines traditional banded systems like Bollinger Bands.
Built on entropy theory, adaptive moving averages, and dynamic volatility measurement, Entropy Bands provide deeper insights into market randomness, trend strength, and breakout potential.
Instead of only relying on price deviation (like Bollinger Bands), Entropy Bands integrate chaos theory principles to create smarter, more responsive dynamic bands that adapt to real market behavior.
🚀Why is Entropy Bands Different — and Better
Dynamic Band Width : Adjusts using both entropy and ATR, creating smarter expansion/contraction.
Multi-Moving Average Core : Choose between SMA, EMA, or WMA for optimal centerline behavior.
Noise and Breakout Filtering : Filters fake breakouts by analyzing candle body size and entropy conditions.
Visual Clarity : Background and candle coloring highlight chaotic/noisy zones, trend zones, and breakout moments.
Entropy Bands don't just react to price — they analyze the underlying market behavior, offering superior decision-making signals.
📚 Watch Band Behavior:
Bands expand during volatility spikes or chaotic conditions.
Bands contract during low volatility or tight consolidation zones.
📚 Analyze Candle Coloring:
Green = Bullish breakout (closing above upper band).
Pink = Bearish breakout (closing below lower band).
Gray = Inside bands (neutral/random noise).
✨ Key Features of Entropy Bands:
Entropy-Based Band Width Calculation: A scientific edge over pure price deviation methods.
Dynamic Background Coloring: Highlights high entropy areas where randomness dominates.
Candle Breakout Coloring: Easy-to-spot trend breakouts and strength moves.
Multi-MA Flexibility: Adapt the bands’ core to trending, ranging, or volatile markets.
Body Size Filter: Protects against fake breakouts by requiring meaningful candle body moves.
Candle Pattern Signals - Global Lowest/HighestForex Indicator – Precision Tool for Smarter Trading
Unlock the full potential of your trading strategy with this powerful Forex indicator. Designed to identify high-probability trade setups, it combines real-time price action analysis with advanced technical algorithms. Whether you're a scalper, swing trader, or trend follower, this tool provides clear entry and exit signals to boost your performance. Compatible with all major currency pairs and optimized for MetaTrader 4/5. Take your trading to the next level – trade smarter, not harder.
MA SniperThis indicator automatically finds the most effective moving average to use in a price crossover strategy—so you can focus on trading, not testing. It continuously evaluates a wide range of moving average periods, ranks them based on real-time market performance, and selects the one delivering the highest quality signals. The result? A smarter, adaptive tool that shows you exactly when price crosses its optimal moving average—bullish signals in green, bearish in red.
What makes it unique is the way it thinks.
Under the hood, the script doesn’t just pick a random MA or let you choose one manually. Instead, it backtests a large panel of moving average lengths for the current asset and timeframe. It evaluates each one by calculating its **Profit Factor**—a key performance metric used by pros to measure the quality of a strategy. Then, it assigns each MA a score and ranks them in a clean, built-in table so you can see, at a glance, which ones are currently most effective.
From that list, it picks the top-performing MA and uses it to generate live crossover signals on your chart. That MA is plotted automatically, and the signals adapt in real-time. This isn’t a static setup—it’s a dynamic system that evolves as the market evolves.
Even better: the indicator detects the type of instrument you’re trading (forex, stocks, etc.) and adjusts its internal calculations accordingly, including how many bars per day to consider. That means it remains highly accurate whether you’re trading EURUSD, SPX500, or TSLA.
You also get a real-time dashboard (via the table) that acts as a transparent scorecard. Want to see how other MAs are doing? You can. Want to understand why a certain MA was selected? The data is right there.
This tool is for traders who love crossover strategies but want something smarter, faster, and more precise—without spending hours manually testing. Whether you're scalping or swing trading, it offers a data-driven edge that’s hard to ignore.
Give it a try—you’ll quickly see how powerful it can be when your MA does the thinking for you.
This tool is for informational and educational purposes only. Trading involves risk, and past performance does not guarantee future results. Use responsibly.
FVG Detector by SZEMEK>>> DESCRIPTION IN ENGLISH
An advanced indicator for the TradingView platform designed to detect and visualize Fair Value Gaps (FVG) and Inversion Fair Value Gaps (iFVG) on charts.
Main Features:
1. FVG Detection:
- The script identifies both bullish and bearish Fair Value Gaps.
- Users can choose which types of FVG to display (Bullish, Bearish, both, or none).
2. FVG Visualization:
- Gaps are represented as rectangular boxes on the chart.
- The color and transparency of the boxes are configurable separately for bullish and bearish FVG.
- The option to add a frame to FVG boxes with separate color settings.
- FVG labels are available with configurable colors and sizes.
3. Dynamic Tracking of FVG Fill:
- The script monitors the extent to which each gap has been filled by subsequent price movements.
- The fill level is visualized using gray overlay on the original FVG box.
- The percentage fill is updated on the label.
4. Automatic Removal of FVG:
- The ability to set a percentage threshold (100%, 75%, 50%, or no removal) after which FVG is removed from the chart.
5. iFVG Detection:
- The script also identifies Inversion Fair Value Gaps (iFVG), which can be displayed as separate boxes.
- iFVG are available in bullish and bearish versions.
- Users can choose which types of iFVG to display (Bullish, Bearish, both, or none).
- iFVG can also have labels and frames.
6. Limitation of Checked Candles:
- Users can specify the maximum number of candles back that the script will analyze for FVG and iFVG.
- Alerts: The indicator allows setting alerts for detected iFVG, both bullish and bearish.
Advanced Features:
- Accurate calculation of FVG fill percentage, considering both wicks and candle bodies.
- Dynamic updating of FVG boxes and their labels in real-time.
- Flexible memory management through the removal of outdated or filled FVG.
- The ability to customize the appearance of iFVG, including colors, labels, and frames.
This script serves as an advanced tool for technical analysis, enabling traders to identify potential support and resistance areas based on the concept of Fair Value Gaps and their inverted versions.
>>> DESCRIPTION IN ENGLISH
Zaawansowany wskaźnik dla platformy TradingView, który służy do wykrywania i wizualizacji luk wartości godziwej (Fair Value Gaps, FVG) oraz odwróconych luk wartości godziwej (Inversion Fair Value Gaps, iFVG) na wykresie.
Główne cechy
1. Wykrywanie FVG:
- Skrypt identyfikuje zarówno bycze (Bullish), jak i niedźwiedzie (Bearish) luki wartości godziwej.
- Użytkownik może wybrać, które typy FVG mają być wyświetlane (Bullish, Bearish, oba lub żadne).
2. Wizualizacja FVG:
- Luki są przedstawiane jako prostokątne boxy na wykresie.
- Kolor i przezroczystość boxów są konfigurowalne osobno dla FVG byczych i niedźwiedzich.
- Możliwość dodania ramki do boxów FVG z osobnymi ustawieniami kolorów.
- Etykiety FVG są dostępne z konfigurowalnymi kolorami i rozmiarami.
3. Dynamiczne śledzenie wypełnienia FVG:
- Skrypt monitoruje, w jakim stopniu każda luka została wypełniona przez późniejsze ruchy ceny.
- Stopień wypełnienia jest wizualizowany za pomocą szarego koloru nakładanego na oryginalny box FVG.
- Procent wypełnienia jest aktualizowany na etykiecie.
4. Automatyczne usuwanie FVG:
- Możliwość ustawienia progu procentowego (100%, 75%, 50% lub brak usuwania), po którego przekroczeniu FVG jest usuwany z wykresu.
5. Wykrywanie iFVG:
- Skrypt dodatkowo identyfikuje odwrócone luki wartości godziwej (iFVG), które mogą być wyświetlane jako osobne boxy.
- iFVG są dostępne w wersji byczej i niedźwiedziej.
- Użytkownik może wybrać, które typy iFVG mają być wyświetlane (Bullish, Bearish, oba lub żadne).
- iFVG również mogą mieć etykiety i ramki.
6. Ograniczenie sprawdzanych świec:
- Użytkownik może określić maksymalną liczbę świec wstecz, które skrypt będzie analizował w poszukiwaniu FVG i iFVG.
- Alerty: Wskaźnik umożliwia ustawienie alertów dla wykrytych luk iFVG, zarówno bullish, jak i bearish.
Zaawansowane funkcje
- Dokładne obliczanie procentu wypełnienia FVG, uwzględniające zarówno knoty, jak i ciała świec.
- Dynamiczne aktualizowanie boxów FVG i ich etykiet w czasie rzeczywistym.
- Elastyczne zarządzanie pamięcią poprzez usuwanie nieaktualnych lub wypełnionych FVG.
- Możliwość dostosowania wyglądu iFVG, w tym kolorów, etykiet i ramki.
Skrypt ten stanowi zaawansowane narzędzie do analizy technicznej, umożliwiające traderom identyfikację potencjalnych obszarów wsparcia i oporu bazujących na koncepcji luk wartości godziwej i ich odwróconych wersjach.
BTC Trend Momentum (BTM) with VWMOBTC Trend Momentum (BTM) with VWMO – A Smarter Way to Trade Bitcoin 🚀
Overview
Bitcoin price movements can be volatile, often leading to fake breakouts and whipsaws that mislead traders. BTC Trend Momentum (BTM), combined with Volume Weighted Moving Average (VWMO), helps smooth out market noise and provide clearer trend signals.
This script integrates momentum analysis, trend strength detection, and zero-line crossovers, allowing traders to make smarter entries and exits while avoiding false signals.
⸻
Why Use This Indicator?
✅ Momentum Histogram – Easily visualize trend strength with color-coded bars.
✅ Volume-Weighted Analysis – Uses VWMO to filter out weak price movements.
✅ Zero Line Crossover Alerts – Identifies major trend shifts in real-time.
✅ Dynamic Color Coding – Stronger trends highlighted in brighter colors.
✅ Background Shading – Differentiates bullish & bearish zones for easy trend reading.
✅ Built-in Alerts – Get notified of trade opportunities instantly.
⸻
How to Trade Using BTC Trend Momentum (BTM)
🔹 Buy Signal: When the momentum histogram (green bars) crosses above the EMA (orange line).
🔹 Sell Signal: When the momentum histogram (red bars) crosses below the EMA.
🔹 Strong Trend Confirmation: If histogram bars turn lime (bullish) or maroon (bearish), it indicates strong momentum.
🔹 Zero Line Crossovers: A bullish crossover above zero confirms an uptrend, while a bearish crossover below zero confirms a downtrend.
For better results, combine with RSI, MACD, or VWAP to confirm trend strength before entering trades.
⸻
Best Timeframes for Trading
📌 1H & 4H – Ideal for swing trading Bitcoin.
📌 5M & 15M – Perfect for scalping BTC with precision.
⸻
💡 Would you integrate BTC Trend Momentum (BTM) into your trading strategy? Let us know your thoughts below!
Automate Multi-Timeframe Period Separators - By KaVeHVersion 1.0
Overview
The Automate Multi-Timeframe Period Separators indicator automatically plots vertical separators on your chart to visually distinguish different time intervals. It helps traders quickly identify key session changes, daily transitions, and custom time references without manually drawing lines.
Unlike standard period separators, this script offers enhanced customization options, supports multiple timeframes, and adapts dynamically to different chart resolutions.
Key Features
✅ Multi-Timeframe Support – Works across all timeframes, from seconds to months.
✅ Customizable Time References – Choose between session start time or midnight (00:00) as the reference point.
✅ Time Zone Flexibility – Supports multiple exchange-based and user-defined time zones.
✅ Multiple Line Styles – Customize separator lines with solid, dashed, or dotted styles.
✅ Performance Optimized – Efficiently manages up to 500 separators without cluttering the chart.
How It Works
🔹 This script automatically detects session changes or day boundaries based on user preferences.
🔹 It dynamically adjusts separators based on the current chart timeframe to ensure clarity and relevance.
🔹 Users can modify separator colors, line styles, widths, and display preferences from the settings panel.
What Makes This Indicator Unique?
🔹 More Flexible than Built-in TradingView Separators – Allows custom time references, multiple time zones, and improved styling options.
🔹 Not a Simple Clone – Unlike existing open-source scripts, this indicator introduces dynamic MTF logic, optimized visibility conditions, and smarter separator management.
🔹 Continuously Updated – This is the first official release, and future updates will refine the logic further.
Timeframe Alignment:
M1 timeframe -> M15 separator
M3 timeframe -> M30 separator
M5 timeframe -> H1 separator
M15 timeframe -> H4 separator
H1 timeframe -> D1 separator
H4 timeframe -> W1 separator
How to Use
1️⃣ Add the indicator to your chart.
2️⃣ Configure your preferred time reference (Session Start / Midnight).
3️⃣ Choose a custom time zone if necessary.
4️⃣ Adjust separator styles, colors, and line width to fit your trading strategy.
5️⃣ Enjoy a clearer, more structured chart layout!
🔹 Important Note:
This is not a duplicate of any existing open-source indicator. It introduces unique logic for better time-based chart structuring, ensuring a clutter-free trading experience.
💡 If you have any suggestions or feature requests, feel free to share them!
🚀 Enhance Your Trading with Smarter Time Separators!
Comprehensive Trading Toolkit [BigBeluga]Trading Toolkit is a comprehensive indicator inspired by the trading strategies of the renowned crypto influencer Michaël van de Poppe . This tool combines RSI divergences, correction zones, and advanced support/resistance levels to provide traders with a robust framework for analyzing market movements.
🔵 Key Features:
RSI Divergences on Chart:
Automatically identifies and plots RSI divergences (bullish and bearish) directly on the main price chart.
Green lines indicate bullish divergences, suggesting potential upward reversals.
Red lines indicate bearish divergences, signaling possible downward movements.
Correction Boxes:
Traders typically define a correction as a drop in value of 10% or more. This drop can happen over a few hours or a few days. Also, it can last for less than 24 hours or many months.
This indicator visualizes corrections with blue shaded boxes, triggered by a percentage decline defined in the settings.
The boxes highlight sharp price drops, helping traders identify significant market movements quickly.
Advanced Support and Resistance Levels:
Dynamically detects key support and resistance levels based on price pivots.
When the price is above a level, it plots a green shaded area from the cross point, marking support.
When the price drops below a level, it plots a red shaded area, highlighting resistance.
Dashed lines indicate weaker levels, while solid lines represent stronger, more reliable levels.
🔵 Usage:
Identify Divergences: Use plotted RSI divergences to detect potential market reversals and align them with price action.
Analyze Correction Zones: Utilize correction boxes to evaluate significant price declines and find potential buying opportunities during these corrections.
Leverage Support and Resistance Levels: Confirm breakouts, reversals, or consolidation zones with the color-coded areas.
Enhance Risk Management: Combine divergences and correction zones to set informed stop-loss or take-profit levels.
Trading Toolkit empowers traders with actionable insights into market trends, corrections, and support/resistance dynamics, making it an invaluable tool for crypto and forex markets.
FVG Chain (Consecutive Fair Value Gaps / Imbalances)This indicator detects fair value gaps that are created out of the touch of older fair value gaps, hence creating an "FVG chain".
It counts +1 for the chain whenever a new price leg's FVG is touched.
You can use the current FVG Chain count, as well as the high, low, and price leg high/low of the current FVG as input source in external indicators. Check the data window to see the plot values.
How FVGs are detected:
Bullish: The low of the current confirmed bar is above the high of 2 bars back.
Bearish: The high of the current confirmed bar is below the low of 2 bars back.
A bullish FVG chain is broken if:
The current FVG's price leg low is broken.
The previous bar closed below the FVG, and the current confirmed bar closed below the previous bar.
A bearish FVG chain is broken if:
The current FVG's price leg high is broken.
The previous bar closed above the FVG, and the current confirmed bar closed above the previous bar.
Supply and Demand Plus [tambangEA]The Supply and Demand Plus is an advanced version of the highly-regarded Supply and Demand indicator
Designed to offer additional functionality for professional traders. Building on the core features of the original script, the "Plus" version incorporates enhanced zone selection capabilities and multi-timeframe Exponential Moving Averages (EMAs). This makes it a versatile tool for those who seek to refine their trading strategies using supply and demand principles while integrating trend-following techniques.
🔹 New Capabilities in Supply and Demand Plus
1. Customizable Zone Selection:
Users can now choose which specific zones to display on the chart:
Continuation Trader
-Rally-Base-Rally (RBR): Bullish continuation zones.
-Drop-Base-Drop (DBD): Bearish continuation zones.
Contrarian Trader
-Drop-Base-Rally (DBR): Bullish reversal zones.
-Rally-Base-Drop (RBD): Bearish reversal zones.
This feature allows traders to filter the zones relevant to their strategy, reducing chart clutter and enhancing focus.
2. Multi-Timeframe EMAs:
🔹 The Meeting Zone: "Base"
-The meeting zone is where supply meets demand, often referred to as the equilibrium price range. In this range:
-Sellers are willing to sell at prices buyers are willing to pay.
-Trading volume is usually higher as transactions occur more frequently.
-On the candle chart, this area may appear as sideways movement (consolidation) or regions with balanced candle sizes and wicks, signaling relative agreement between buyers and sellers.
🔹 Key Observations in Candle Charts
-Breakouts: When prices break out of a meeting zone, they indicate that one side (buyers or sellers) has gained significant control. This can lead to new supply or demand zones.
-Retests: Often, prices return to test these zones (called pullbacks) before continuing in the dominant direction. Retests confirm the strength of a supply or demand zone.
-Volume Spikes: High trading volumes near these zones signify active participation and can validate the importance of the zone.
The indicator includes five Exponential Moving Averages (EMAs) that can be plotted across different timeframes simultaneously. This enables traders to:
Track trend strength and direction across multiple timeframes.
Identify dynamic support and resistance levels.
Combine EMA signals with supply and demand zones for confluence-based trading decisions.
EMA Settings:
Fully customizable periods (e.g., EMA 20, 50, 100, etc.).
Adjustable colors and thickness for each EMA.
Multi-timeframe capability to analyze higher or lower timeframes without changing the chart.
🔹 How It Works :
The script works through a series of processes:
1.Zone Identification:
-Uses historical price patterns and pivot levels to map out supply and demand zones.
-Zones dynamically adjust to reflect market conditions, staying relevant to current price action.
-The color of the Zone can be set individually
2.Volume and Market Context:
-Integrates volume analysis to filter out weaker zones.
-Highlights zones with confluence between high volume and price rejections, signaling areas of strong institutional interest.
3.Trend Integration:
-Employs proprietary logic to assess market trends, ensuring that traders only act on zones aligned with broader momentum.
-This feature minimizes counter-trend trades, which are inherently riskier.
4.User Customization:
-Fully customizable zone sensitivity, timeframe settings, and visual preferences allow traders to adapt the tool to their strategy.
Four EMAs in sequence from Chart EMAs to Daily EMA are indicators of a strong trend
The "Base" zone of RBR and DBD supported by Daily EMAs within the zone,
is a strong meeting of buyers and sellers in the past.
Zone can be calibrated how many percent comparison of open close candle to high low candle
the number of candles in Base can be set to the maximum number of candles
🔹 Utility for Traders
The indicator provides a clear roadmap for traders by:
-Identifying high-probability trade zones.
-Confirming entries with volume and trend data.
-Offering actionable insights in both trending and ranging markets.
🔹 Why It Stands Out
Unlike generic supply and demand indicators or trend-following tools, Supply and Demand Plus incorporates an original approach by:
-Seamlessly combining zone identification, volume analysis, and trend confirmation into a single cohesive tool.
-Adapting dynamically to changing market conditions.
-Supporting advanced traders with MTFA, while remaining accessible to beginners with its intuitive design.
Example : Continuation Trader + Retests
The idea is when the "Base" zone occurs, then there is a meeting between buyers and sellers with a large enough volume and will leave a trace in the past.
In accordance with one of the principles in Dow Theory, namely History Repeats Itself, the price will return to the "Base" zone, before continuing the trend
Before
After
🔹 Update and Versioning
This script is an evolution of previous Supply and Demand tools, incorporating valuable user feedback and innovative features. All future updates, including improvements and new functionalities, will be integrated within this script under the Update feature, ensuring continuity and ease of access for users.
🔹 Conclusion
We believe that success lies in the association of the user with the indicator, opposed to many traders who have the perspective that the indicator itself can make them become profitable. The reality is much more complicated than that.
The aim is to provide an indicator comprehensive, customizable, and intuitive enough that any trader can be led to understand this truth and develop an actionable perspective of technical indicators as support tools for decision making.
🔹 DISCLAIMER/RISK WARNING
Trading foreign exchange on margin carries a high level of risk, and may not be suitable for all investors.
All content, tools, scripts, articles, & education provided by are purely for informational & educational purposes only. Past performance does not guarantee future results.
Liquidity Zones [BigBeluga]This indicator is designed to detect liquidity zones on the chart by identifying significant pivot highs and lows filtered by volume strength. It plots these zones as boxes, highlighting areas where liquidity is likely to accumulate. The indicator also draws lines extending from these boxes, marking the levels where price may "grab" this liquidity. The size of these boxes can be dynamic, adjusting based on the volume size, offering a visual representation of market areas where traders might expect significant price reactions.
🔵 IDEA
The idea behind the Liquidity Zones indicator is to help traders identify key market levels where liquidity accumulates. Liquidity zones are areas where there are enough buy or sell orders that can potentially lead to significant price movements. By focusing on pivot points filtered by volume strength, the indicator aims to provide a clearer picture of where large players may have positioned their orders. This insight allows traders to anticipate potential market reactions, such as reversals or breakouts, when the price reaches these zones. The option for dynamic box height further refines the visualization, showing the extent of liquidity based on the volume's intensity.
🔵 KEY FEATURES & USAGE
◉ Volume-Filtered Pivot Highs and Lows:
The indicator scans for pivot highs and lows on the chart, filtering these points based on the volume strength setting (Low, Mid, High). This ensures that only the most significant liquidity zones, backed by notable trading volume, are highlighted. Traders can adjust the filter to focus on different levels of market activity, from small fluctuations to major volume spikes.
Low:
Mid:
High:
◉ Dynamic and Static Liquidity Zones:
Liquidity zones are plotted as boxes around pivot points, with an optional dynamic mode that adjusts the box height based on the normalized volume. This dynamic adjustment reflects the liquidity carried by the volume, making it easier to gauge the significance of each zone. In static mode, the boxes have a fixed height, providing a consistent visual reference for the zones.
◉ Color Intensity Based on Volume:
The indicator adjusts the color intensity of the liquidity zones based on the volume strength. Higher volume zones will be displayed with more intense colors, giving a visual cue to the strength of the liquidity present in that area. This makes it easier to differentiate between zones of varying importance at a glance, allowing traders to quickly identify where the market has the highest concentration of liquidity.
◉ Liquidity Grab Detection and Red Circles:
When the price interacts with a liquidity zone, the indicator detects whether liquidity has been "grabbed" at these levels. If the price moves into a zone and crosses a level, the box label changes to "Liquidity Grabbed," and the line marking the level becomes dashed.
Reversal Points:
The beginning of a trend:
Additionally marks these "liquidity grabs" with red circles, indicating both recent and past liquidity grabs. This feature helps traders identify areas where liquidity has been absorbed by the market, which may signal potential reversals or shifts in market direction.
◉ Dashboard Display:
A dashboard in the upper right corner of the chart provides an overview of the indicator's settings and status. It shows the number of plotted zones, as set in the input settings, and whether the dynamic mode is active. This quick reference helps traders stay informed about the indicator's configuration without needing to open the settings panel.
🔵 CUSTOMIZATION
Length & Zones Amount: Set the length for pivot detection and the maximum number of zones to be displayed on the chart. This allows you to control how many liquidity zones you want to monitor at any given time.
Volume Strength Filter: Adjust the filter to Low, Mid, or High to control the strength of volume required for a pivot to be considered a significant liquidity zone. Higher settings focus on zones with greater volume, indicating stronger liquidity.
Dynamic Distance Mode: Enable or disable the dynamic mode, which adjusts the box height based on the volume size. When dynamic mode is off, the boxes have a fixed height based on the ATR, offering a consistent visualization regardless of the volume size.
The Liquidity Zones indicator is a versatile tool for identifying areas of significant market activity, offering a clear view of where liquidity is likely to reside. By filtering these zones through volume strength and providing dynamic or static visualization options, it equips traders with insights into potential market reaction points, enhancing their ability to anticipate and respond to market movements. The varying color intensity based on volume further aids in quickly recognizing the most critical liquidity zones on the chart.
Price Action SuiteThe TRN Price Action Suite incorporates a treasure trove of time and price action concepts. It includes a set of trading tools that, when combined, allow for a more accurate view of the market. This enables traders to find high probability entry points before the market moves to the next liquidation level.
Features of the TRN Price Action Suite:
(Inverse) Fair Value Gaps (FVG)
Order Blocks (OB)
FVG and OB with Cumulative Volume Delta
Volume Imbalances
Market Structure
Liquidity levels
Sessions
Kill zones/Opening Range
The indicator helps traders to easily identify favorable market conditions and high probability trade setups. It automatically finds time and price action concepts and displays them in an intuitive way on the chart. One of the highlights is the detection of Fair Value Gaps and Order Blocks in connection with Cumulative Volume Delta (approx.). You will not find this connection anywhere else.
Fair Value Gaps (FVGs)
A fair value gap occurs when there are inefficiencies in the market or imbalanced buying and selling pressures. Fair value gaps can become a magnet for the price before continuing in the same direction. Special attention should be paid to FVGs that are supported by support and resistance levels, as these offer a higher probability of success for trades. Additionally, the indicator plots inverse FVG (iFVG). These are FVG that are “closed” by a FVG in the other direction. IFVGs are a strong sign of the market to continue in the direction of the iFVG.
In addition to the FVGs you see on the chart, you can add also FVGs from a higher timeframe including the cumulative buy/sell volume. For this you can set “Timeframe 1” and “Timeframe 2” in the settings to your preferred timeframes. E.g. you trade on a 5-minute chart, and you want to see FVGs from 4 hours and a daily chart, then you set Timeframe 1 to 4 h and to Timeframe 2 to 1 D.
Order Blocks and Volume Imbalances can also be shown from higher timeframes.
Order Blocks (OBs)
Order blocks are areas on the chart where a high concentration of limit orders was found in the past. They can serve as potential support or resistance areas. These represent areas in the market where there is an oversupply (supply) or an excess demand (demand). They are often key zones for potential turning points or continuations of the current trend. A bullish OB, for example, is the last bearish candle before a significant uptrend.
FVGs and OBs with Cumulative Volume Delta
The TRN Price Action Suite can show FVGs and OBs with the corresponding Cumulative Volume Delta (CVD). It is a metric to analyze market dynamics by tracking the net difference between buying and selling volumes over a specific timeframe. It is used to determine the strength of the FVG/OB. The FVG/OB includes two bars on the left side, indicating the cumulative buy volume in green as well es the cumulative sell volume in red. At the right side of the FVG/OB box the ratio of the cumulative buy/sell volume is displayed. A high ratio over 1, for example 1.5, indicates a lot of buying pressure. On the hand, a ratio far below 1, for example 0.66, indicates a lot of selling pressure.
Volume Imbalances (VIBs)
Volume Imbalances indicate a price gap from the previous close, but unlike gaps, there is no absence of trading activity within a specific price range. Bullish VIs have opening and closing prices above the previous close, with overlap between the current low and previous high. Bearish VIs are vice versa.
Market Structure
The market structure represents the dominant trend in the market. It is based on swing highs and lows. For instance, if the price makes higher highs (HH) and higher lows (HL) the market structure represents an uptrend. Vice versa if price makes lower lows (LL) and lower highs (LH) the market trend is down.
If the market structure is up, traders can enter positions in a pullback. For this, a trader could use a FVG or an OB as an entry condition.
Market Structure Shift (MSS) (Change of Character (ChoCh))
A market structure shift occurs when the market transitions from one dominant trend to a different one, often signaling a potential change in the underlying market dynamics. A MSS signals the start of a new trend. It signals the change from an uptrend to a down trend and vice versa. Therefore, it is sometimes called change of character (ChoCh). A valid MSS should ideally occur in a strong supply or demand zone. This indicates that the market may be approaching a trend reversal or consolidation.
Break of Structure (BOS)
A break of structure happens when the market breaks out of its established trading range or pattern. The market continues its dominant trend, indicated by the last MSS.
In an uptrend, for example, each time the price breaks through a new high, a "bullish BOS" is formed. This indicates that the market can overcome previous resistance levels and continue to rise.
Levels
One core concept in trading is that price flows to areas of liquidity. Natural liquidity areas are the current day open, high, low (CDO, CDH, CDL) or the previous day high, low, close (PDH, PDL, PDC). The same is true for the current week (CWO, CWH, CWL) and the previous week (PWH, PWL, PWC).
Pay special attention in case some of these levels are close together. Then these levels serve like a magnet for the price. The TRN Price Action Suite indicator can cluster these levels fully automatically together to give the trader the flexibility to focus solely on the trading part.
Sessions
Sessions are the trading hours during which the banks are actively trading. The three main trading sessions:
Asia: Most of the volume from the Asian players are handled within this session.
London: This is where the European players are most active.
New York: In the New York session all the USA players are active as well as all the other American players. Furthermore, a lot of global players are active in this session as well.
Killzones
A kill zone in trading refers to a specific time period during the trading day when the market experiences increased volatility and liquidity. It is an opportunity for traders to capitalize on potential price movements and generate profits. There are several different killzones during the day.
There are three different types of killzones:
Indices/Futures: This one is suitable if you trade products like the ES, NQ, FDAX, CL or Stocks, Options.
Forex: If you trade Forex this setting will mark the most liquid periods of the day.
Opening Range: In case you trade the opening range of the sessions, use this setting.
Trading Example
[UST] Protein+Support/Resistance Script: A Comprehensive Overview
Thanks to Pmgjiv for providing the foundation to this improved Version.
In the world of trading, having a robust support and resistance analysis tool can make a significant difference in decision-making and overall strategy. Let's delve into the enhancements made to the support/resistance script and how each component contributes to a trader's arsenal:
Changes and improvements made for the script to help Traders make better rational decisions in their Trading:
1. Multiple Timeframes:
Integrating multiple timeframes into the analysis provides a multi-dimensional view of the market. Traders can now assess price action across different time horizons simultaneously. This feature allows for a deeper understanding of market dynamics and helps in identifying significant support and resistance levels across various timeframes.
2. Timeframe Labels Inside Zones:
By including timeframe labels within the zones, traders can easily identify the origin of each support or resistance level. This contextual information enhances clarity and facilitates more informed decision-making, especially when navigating through multiple timeframes.
3. Visual Zone Update:
Visual updates on zones enable traders to track changes in support and resistance levels in real-time. This dynamic feature enhances the analytical process by providing immediate insights into evolving market conditions, thereby enabling traders to adapt their strategies accordingly.
4. Zones Hit:
Understanding the frequency and intensity of zone hits offers valuable insights into the strength and relevance of support and resistance levels. Traders can gauge the significance of each zone based on its historical interaction with price, thereby gaining a deeper understanding of market sentiment and potential trading opportunities.
5. Option to Turn off Current Timeframe:
The ability to toggle off the current timeframe streamlines chart analysis by focusing only on the most critical support and resistance zones. This decluttering feature helps traders prioritize key levels, reducing cognitive overload and enhancing decision-making efficiency.
Explanation of Additional Functions:
a. Lookback:
The 'lookback' parameter allows traders to customize the age of support and resistance zones based on their trading style and preferences. By adjusting the lookback setting, traders can choose whether to prioritize recent price action or consider historical data, thus tailoring the analysis to their specific trading strategies.
b. Swinglength:
Swinglength determines the sensitivity of the support and resistance zones. By modifying this parameter, traders can control how aggressively the script identifies pivot points. A higher swinglength value results in smoother, more stable zones, whereas a lower value increases sensitivity, capturing smaller price movements.
c. ZigZag Indicator:
The ZigZag indicator plays a pivotal role in identifying significant price reversals. Its period setting determines the number of price bars considered before confirming a pivot point. Traders can utilize this indicator to identify key turning points in the market, aiding in the identification of robust support and resistance levels.
Impact of Sensitivity on Zones:
Adjusting the sensitivity of the ZigZag indicator directly influences the identification and delineation of support and resistance zones. Higher sensitivity levels result in fewer but more robust zones, capturing significant price movements. Conversely, lower sensitivity levels yield more zones, accommodating smaller price fluctuations but potentially introducing noise into the analysis.
d. S/R Range:
The ability to adjust the width of support and resistance zones allows traders to customize the breadth of key areas on a chart. Choosing a wider range encompasses a broader spectrum of prices, thereby identifying more comprehensive support and resistance levels. This flexibility enables traders to adapt their analysis to different market conditions and trading strategies.
Utilization in Trading:
Comprehensive Analysis: By incorporating multiple timeframes, traders gain a holistic view of market dynamics, enabling them to identify high-probability trading opportunities across various horizons.
Contextual Understanding: Timeframe labels within zones provide context, helping traders understand the significance of each level in relation to different timeframes and market conditions.
Real-time Adaptability: Visual zone updates facilitate real-time analysis, allowing traders to adjust their strategies promptly in response to changing market conditions.
Informed Decision-making: By considering zone hits, traders can assess the strength and relevance of support and resistance levels, enhancing their ability to make informed trading decisions.
Customized Analysis: Adjustable parameters such as lookback, swinglength, and sensitivity empower traders to tailor the analysis to their individual trading styles and preferences, enhancing precision and effectiveness.
In summary, these enhancements to the support/resistance script provide traders with a powerful toolkit for analyzing market dynamics, identifying key levels, and executing well-informed trading strategies across various timeframes and market conditions.
ICT Unicorn Model [LuxAlgo]The ICT Unicorn Model indicator highlights the presence of "unicorn" patterns on the user's chart which is derived from the lectures of "The Inner Circle Trader" (ICT) .
Detected patterns are followed by targets with a distance controlled by the user.
🔶 USAGE
At its core, the ICT Unicorn Model relies on two popular concepts, Fair Value Gaps and Breaker Blocks. This combination highlights a future area of support/resistance.
A Bullish Unicorn Pattern consists out of:
A Lower Low (LL), followed by a Higher High (HH)
A Fair Value Gap (FVG), overlapping the established Breaker Block
A successful re-test of the FVG which confirms the pattern.
A Bearish Unicorn Pattern consists of:
A Higher High (HH), followed by a Lower Low (LL)
A Fair Value Gap (FVG), overlapping the established Breaker Block
A successful re-test of the FVG which confirms the pattern
The pattern detection depends on detected swings, which can be controlled by the Swing setting. Using higher values of this setting will return longer-term breaker blocks.
🔹 Using Risk/Reward Targets
A confirmed Unicorn pattern will show a blue ( Target ) / grey ( Stop Loss) "Risk/Reward" areas (RR).
When the Stop Loss or Target is hit, a white line is shown on the concerned side.
The Risk/Reward ratio can be adjusted in the "Targets" settings.
🔹 Trailing Stop
As seen in the previous snapshots, besides the RR areas, this indicator also includes an optional Trailing Stop .
This can be helpful to lower your risk, by exiting earlier than if you would wait until the Stop Loss is hit.
This example shows a successful bullish and bearish Unicorn Pattern . In this scenario, the Trailing Stop could be used for partial Take Profit.
The goal of this publication is to show confirmed Unicorn Patterns . To increase the chance of success, it is important to evaluate the bigger picture & use this in confluence with your price action analysis. For example, look for potential areas of liquidity, consider this pattern only during certain market sessions, avoid trading during heavy impact news, &/or incorporate other aspects of technical analysis rather than just following this pattern blindly.
🔶 DETAILS
🔹 Combine
When disabled, all potential Unicorn Patterns will delete previous unconfirmed patterns:
Enabling Combine ensures the last Unicorn Patterns in the opposite direction will remain.
While the latter bullish pattern became invalid, another one formed.
The combination of the previous bearish pattern, and looking at the big picture, the bullish pattern did not have much chance to be successful.
While disabling 'combine' helps minimize clutter, enabling this feature can give a pattern more chance to hit the SL/Target level.
🔹 Mitigated FVG
Users can determine if a pattern becomes invalid due to a mitigated FVG, causing the pattern to be deleted.
🔹 New pattern detected
When a new pattern is detected, the previous unconfirmed pattern in the same direction (bullish - bullish or bearish - bearish) will be deleted. This will always be the case, whether "Combine' is enabled or disabled.
When the previous pattern was confirmed but no SL or Target level was hit, this pattern will stop updating.
🔶 SETTINGS
🔹 Unicorn
Swings: This sets the length of swings, used for the underlying ZigZag and Unicorn Patterns detection.
Bull: Enable/disable Bullish patterns, and set the color of FVG box and Trailing Stop .
Bear: Enable/disable Bearish patterns, and set the color of FVG box and Trailing Stop .
Combine: When enabled, patterns in opposite directions (bullish/bearish) can exist at the same time. disabling this feature tends to give less clutter. See the "Usage" section for more information.
🔹 Targets
Risk/Reward: Sets the Risk/Reward ratio.
Trailing Stop: Set the length of small swings, which is used for the Trailing Stop .
itradesize /\ IPDA Look Back - for any timeframeThe script automatically calculates the 20-40-60 look-back periods and their premium and discount ranges.
The base concept is from ICT’s IPDA which should be applied to the daily timeframe but now you can use that same concept on the lower timeframes .
The higher the timeframes you use the more reliable it will be ( when we are talking about lower timeframes than Daily ).
- With the use of the indicator you can apply it on any timeframe with ease.
- You can customize the coloring of premium & discount, frame lines, and even the look of it.
- Hide or show the EQ levels
Below the IPDA texts the indicator shows the actual percentage of the selected range based on the current price fluctuations.
The script handles the 20-40-60 days look-back as fractals so it can be applied on lower timeframes.
The basics:
- The Interbank Price Delivery Algorithm (IPDA): The algorithm creates a shift on the daily chart every 20, 40, and 60 trading days.
- These are the IPDA look-back periods. Every 20 trading days or so there is a new liquidity pool forming on both sides of the market based on ICT concepts.
- Determine the IPDA Data Range of the land 20 trading days.
- Note the highest high & lowest low in the past 20 trading days. Identify the institutional order flow and mark the relevant PD arrays in the selected IPDA look-back period we deemed useful for our trading style.
- This is your current dealing range.
- If the price consolidates for 20 days, consider switching to a 40-day look back.
Inside this dealing range, we look for the next draw on liquidity. Is it reaching for a liquidity pool or is it looking to rebalance at a particular PD Array. This is going to the Bias.
Which IPDA data range should you use?
IPDA20 can be our Short Term range - fit for intraday traders at most
IPDA40 can be our Swing Trade range - have a clear indication of the market profile
IPDA60 can be our range for position trading - have a clear indication of the market profile
Market Structure (Breakers) [LuxAlgo]The Market Structure (Breakers) indicator aims to detect "Breaker Market Structures", an original concept inspired by breaker blocks, and extend on the original concept of market structures by extending existing MS levels, providing supports/resistances as a result.
Various graphical elements are included that highlight the interactions between price and Breaker structures.
🔶 USAGE
Breaker structures occur when a market structure is confirmed (price breaking a previous swing level). The broken swing point is extended by a dotted line which can be used as potential support or resistance.
After a market structure, the price can eventually reverse and break one or multiple breaker structures at the same time, allowing for the detection of new trends in the price.
A market structure closer to the top/bottom of a trend can return Breaker structures breakouts more indicative of potential reversals.
Breakers MS breakouts can also be useful as exits for entries done using market market structures.
The script additionally highlights support/resistance events by highlighting candle borders, with a border using a green color indicating support events while a red color is indicative of a resistance event.
🔹 Breaker Structure Lifespan
The "lifespan" of Breaker structures, that is the amount of time the script will extend/evaluate them is determined by various user settings.
The Maximum Breaks setting determines the maximum amount of breaks a breaker structure can withstand before it is broken.
For example, a maximum amount of breaks of 3 for a bearish breaker structure would require the price to cross under that precise breaker structure level three times. Using higher values of this setting will also highlight more Breakers MS.
The Breaker Maximum Duration setting on the other hand determines how many bars a breaker structure can be evaluated without being broken. If a breaker structure is not broken after this amount of bars then it will stop being evaluated and will be removed.
🔶 SETTINGS
Swings Period: Period used for the swing detection, with higher values returning longer term markter structures.
Maximum Breaks: Amount of break required for a breaker block to be considered broken.
Breaker Maximum Duration: Maximum duration of a breaker block (in bars).
Market Order Bubbles - By Leviathan"Market Order Bubbles" is a volume-based indicator that helps visualize the occurrences of increased aggressiveness in market buying/selling and can serve as a useful confluence for trading reversals or as a simple tool for observing real-time market dynamics.
I created Market Order Bubbles six months ago as an additional tool included in my Liquidation Levels script. Due to their popularity, I decided to publish them as a standalone indicator with some new features. The script is based on a calculation that uses volume data (imitation of CVD) and price action to estimate where there is a surge in the quantity and magnitude of market buy and sell orders. These occurrences are visualized with circles (bubbles) that appear above the bar (market buy orders) or below the bar (market sell orders). Most of the time, the approach to interpreting the bubbles is contrarian, meaning that the appearance of Market Buy Order Bubbles can serve as a confluence to look for shorts, and the appearance of Market Sell Order Bubbles can serve as a confluence to look for longs.
The concept behind taking a contrarian approach:
Market Buy Order Bubbles appear above the price and possibly signal the following:
- Short positions being liquidated (exit short = buy order)
- New traders entering late longs based on FOMO (enter long = buy order)
- Smarter traders getting their limit sell orders filled by aggressive buyers/stopped out shorts
⇒ Possible reversal to the downside / short-term pullback / start of ranging price action (PA)
Market Sell Order Bubbles appear below the price and possibly signal the following:
- Long positions being liquidated (exit long = sell order)
- New traders entering late shorts based on FOMO (enter short = sell order)
- Smarter traders getting their limit buy orders filled by aggressive sellers/stopped out longs
⇒ Possible reversal to the upside / short-term pullback / start of the ranging PA
These events are identified and filtered by EMA and STDEV-based "thresholds," which can be modified in the indicator settings.
1. If the buy/sell volume exceeds the first threshold, a Small Bubble is displayed.
2. If the buy/sell volume surpasses the second threshold, a Medium Bubble is displayed.
3. If the buy/sell volume exceeds the third threshold, a Large Bubble is displayed.
Increasing the multipliers effectively increases the threshold for a given bubble to appear, making the conditions for its occurrence more strict.
Decreasing the multipliers effectively decreases the threshold for a given bubble to appear, making the conditions for its occurrence less strict.
Settings Overview
"Bubble Position" - Choose whether the bubbles are displayed above/below the candle, at the candle high/low, or at the intrabar POC of the candle.
"Strength Gradient Color" - This option adjusts the transparency of the bubble's color relative to the volume on that bar.
"Threshold EMA Length" - Choose the length of the EMA used for determining the thresholds.
"Threshold STDEV Length" - Choose the length of the ta.stdev() function used on the EMA.
"Appearance Delay" - This input allows you to delay the appearance of the bubble for x number of bars. The default is 0.
"Show POC" - Show/hide intrabar POCs displayed as "-".
"Timeframe-Adjusted Settings" - Different timeframes might require different parameters. In this section, you can set custom parameters (Lengths and Multipliers) for four different timeframes, and the script will automatically switch to those settings as you browse through different timeframes.
Master Pattern ScreenerMaster Pattern Screener
This is an indicator based on the concept known as the Forex Master Pattern, which contains three phases. The contraction, expansion, and trend phases This indicator, based on your current timeframe, finds out if there is a contraction on 10 symbols that you can customize to suit your needs.
How does it work?
The indicator is a table, and it finds 10 different symbols on the current timeframe that you have selected. Then it does volume and volatility calculations to determine if a contraction is occurring, which is the first phase and probably the most important phase in the FOREX MASTER PATTERN .
This indicator is meant to be used in conjunction with our contraction plotter. We would have placed this indicator in the contraction and expansion plotter, but there were memory limitation issues, so we placed it in a separate indicator.
How traders can use this indicator
The contraction phase is extremely important because once a contraction is occurring, what always happens is an expansion. Some traders will avoid placing trades in the contraction phase, while others will enter to use the momentum for their trades. This indicator just makes it more convenient to identify the contraction phases.
Examples of the indicator:
Things you should know
The symbols can be customized to whatever you want. You can choose your own stocks, cryptocurrencies, currencies, etc.
Make sure that it's exactly the same; if you use, for example, BTCUSDT Coinbase but check on BTCUSDT Binance, then it may show inaccurate results.
Since this script involves a decent amount of calculations, it may not work properly in low timeframes, like anything less than a minute.
Liquidation Levels - By LeviathanThis indicator generates liquidation levels of over-leveraged traders and utilizes a variety of different tools to analyze data such as Open Interest and Volume to provide an edge in your trading system and help you with valuable market insights.
The concept of this indicator is inspired by the platform Hyblock and their Liquidation Levels tool.
The script offers a lot of flexibility in settings, so please read these instructions and test out different parameters to see what works best for you. Here is a short overview of all inputs, one by one.
PRIMARY SOURCE OF DATA
This input allows you to choose the primary source of data that the script uses to calculate liquidation levels. I encourage you to test them all and see which works best for the assets and timeframes you trade. You can also regularly switch between to see confluences.
My personal favorite inputs (and also most accurate ones) are Open Interest, Open Interest + Volume (OI+VOL), and Open Interest + CVD (OI+CVD), as they utilize Open Interest in the calculations, which is the most important factor when it comes to analyzing position opening/closing and market activity in general. The other options that do not include Open Interest (Volume, CVD) were mainly added to provide the possibility to use the indicator on pairs where OI data is not available. Please note that this indicator is built on Tradingview and can only use data (e.g., Open Interest) provided by Tradingview, which is unfortunately quite limited. This is why I recommend using the script with OI-based data source inputs on Binance's perpetual futures pairs, as this is where OI data is available. The volume-based data source inputs can be used on spot pairs, forex, indices, and other markets, where Open Interest data is not provided.
To summarize the use of Primary Source of Data input:
1. Open Interest - use on Binance’s perpetual futures or anywhere else where OI data is available
2. OI + VOL - use on Binance’s perpetual futures or anywhere else where OI data is available
3. OI + CVD - use on Binance’s perpetual futures or anywhere else where OI data is available
4. CVD - use on any pair you wish
5. Volume - use on any pair you wish
DIRECTIONAL BIAS
If turned on, the Directional bias function uses volume and some other calculations to predict which side’s liquidation levels are more likely to be filled and only keep those levels on your chart.
- Directional Bias for Liquidation Levels
Turned ON: only one side’s liquidation levels are shown on the chart
Turned OFF: all liquidation levels are shown on the chart
- Directional Bias for Liquidation Level Bubbles
Turned ON: only one side’s liquidation level bubbles are shown on the chart
Turned OFF: all liquidation level bubbles are shown on the chart
I've separated directional bias options between Liquidation Levels and Liquidation Level Bubbles because sometimes it can be useful to have one of them ON and the other one OFF.
REDUCE SENSITIVITY
The Reduce Sensitivity option allows you to multiply the thresholds for "Smaller Size Liquidation," "Medium Size Liquidation," and "Large Size Liquidation" simultaneously. This is a useful feature as it enables you to easily filter larger positions and their liquidations without having to manually alter the standard deviation multipliers, which will be discussed in further detail later in the article.
The default value is 1, which means that it does nothing.
Increasing it above 1 will increase all thresholds and therefore generate fewer liquidation levels but with larger relative sizes.
Decreasing it below 1 will lower all thresholds and therefore generate more liquidation levels but with both smaller and larger relative sizes.
BASE
This input gives you the possibility to choose between four different bases, from which the liquidation levels will be generated.
CLOSE ⇒ Levels are plotted above and below the close of the candle
HALF ⇒ Levels are plotted above and below the middle of the candle ((high+low)/2)
VWAP ⇒ Levels are plotted above and below the volume-weighted average price
VWMA ⇒ Levels are plotted above and below the volume-weighted moving average
I suggest that you backtest them and see what works best for you.
LIQUIDATION LEVEL BUBBLES
If enabled, "Liquidation Level Bubbles" mark the beginning of a new liquidation level and indicate the relative size of liquidations that would occur if the price were to reach that level.
Liquidation Bubbles or Liquidation Levels in general appear when there is a large influx of new positions and logically, (significant) new positions lead to (significant) new liquidation levels. Liquidation Bubbles can be used to estimate the size and therefore significance of a given liquidation level. It could be argued that the price is more likely to be attracted to larger Liquidation Level Bubbles. While this is often true, it is not always the case as the strong momentum created by large positions can sustain for a prolonged period before reversing and filling the remaining levels Similarly to other features in this indicator, significant new positions are identified and filtered using standard deviation thresholds and their multipliers. New positions are considered significant when newly opened positions exceed the threshold for "Smaller Size Liquidation," leading to the creation of new liquidation levels and bubbles.
1. If new positions exceed the first standard deviation multiplier ("Smaller Size Liquidation Level"), but do not exceed “Medium Size Liquidation Level”, a smaller-sized bubble appears.
2. If new positions exceed the second standard deviation multiplier (”Medium Size Liquidation Level”), but do not exceed “Large Size Liquidation Level”, a medium-sized bubble appears.
3. If new positions surpass the third standard deviation multiplier (”Large Size Liquidation Level”), a large-sized bubble appears.
Significant opened positions are identified and filtered by size using three "thresholds" in the form of standard deviations, which can be modified in the indicator settings, in the section called "Standard Deviation Multipliers".
**Increasing** the standard deviation multipliers of Liquidation Level Bubbles effectively increases the threshold for a given bubble to occur, making the conditions for its appearance stricter.
⇒ Fewer Liquidation Levels - just larger positions are included
**Decreasing** the standard deviation multipliers of Liquidation Level Bubbles effectively decreases the threshold for a given bubble to occur, making the conditions for its appearance looser.
⇒ More Liquidation Levels - smaller positions are included
Keep in mind that this should always be the case:
*Smaller Size Liquidation Level < Medium Size Liquidation Level < Large Size Liquidation Level*
MARKET ORDER BUBBLES
"Market Order Bubbles" is my experimental concept used as a way to analyze large volumes and visualize the market activity at significant levels under certain conditions. It is based on my imitation of CVD which is also used in other parts of the script. The aim of this concept is to give you an idea about the real-time heavy market buying and selling, which could indicate eg. large liquidations, large entries/exits. in order to add confluence to your analysis. Please note that this concept is still in its early stages and may be confusing as it might have been poorly implemented. I recommend taking the time to thoroughly read through this section in order to fully understand it. On the other hand, early backtesting results appear very promising, as the win rate of countertrading buy and sell bubbles under certain conditions was fairly high (70%). I will continue working on this tool, so stay tuned for future updates.
**Market Buy Order Bubbles** appear above the price and possibly signal the following:
- Short positions being liquidated (exit short = buy order)
- New traders entering late longs based on FOMO (enter long = buy order)
- New short positions (sells) of “smarter” traders absorbing liquidated/closed shorts (buys)
⇒ Possible reversal to the downside - look for the liquidation levels of longs to get filled
**Market Sell Order Bubbles** appear below the price and possibly signal the following:
- Long positions being liquidated (exit long = sell order)
- New traders entering late shorts based on FOMO (enter short = sell order)
- New long positions (buys) of “smarter” traders absorbing liquidated/closed longs (sells)
⇒ Possible reversal to the upside - look for the liquidation levels of shorts to get filled
significant volumes are identified and filtered using three “thresholds” in the form of standard deviations, which can be modified in indicator settings.
1. If buy/sell volume surpasses the first standard deviation (”**Smaller Size Market Orders**”), then the **smaller-sized bubble** appears.
2. If buy/sell volume surpasses the second standard deviation (”**Medium Size Market Orders**”), then the **medium-sized bubble** appears.
3. If buy/sell volume surpasses the third standard deviation (”**Large Size Market Orders**”), then the **large-sized bubble** appears.
**Increasing** the standard deviation multipliers effectively increases the threshold for a given bubble to appear, making the conditions for its occurrence more strict.
**Decreasing** the standard deviation multipliers effectively decreases the threshold for a given bubble to appear, making the conditions for its occurrence more strict.
Keep in mind that this should always be the case:
*Smaller Size Market Orders < Medium Size Market Orders < Large Size Market Orders*
COLOR CANDLES
The Color Candles function is a useful and interesting feature that will enhance your analysis with additional context. If enabled, the indicator will color the chart's candles based on different data. Currently, there are three options to choose from, with more to be added in future updates.
Color Candles: OI DELTA
This option will color the candles to reflect Open Interest Delta. If there is a net increase in open positions (positive Open Interest Delta), the candle will be colored green. If there is a net decrease in open positions (negative Open Interest Delta), the candle will be colored red. It is important to note that this option only functions on pairs for which Tradingview provides OI data
Color Candles: VOLUME
This option utilizes volume data to help you identify the trend and momentum, coloring the candles accordingly - upward impulses are colored green and downward impulses are colored red. This makes it easier to recognize trend reversals and adjust your directional bias accordingly.
Color Candles: STOCH
This option uses the Stochastic Oscillator and SMA to color the candles, helping you identify momentum as upward green moves transition to downward red moves and vice versa.
LEVERAGE RATIO
Leverage ratio is another experimental concept I have added to this script. If turned on, it provides a broad insight into whether the market is relatively over-leveraged or if the leverage is relatively low. The aim is to use it as a confluence in anticipating incoming volatility and possibly use it to understand other aspects of market activity. It is still in its early stages of development and needless to say, it only works on pairs where Open Interest data is provided by Tradingview.
Crosses above price = Leverage is relatively high
Crosses below price = Leverage is relatively low
MARKET INFO SCREENER, LEVEL LEGEND, HIDE FILLED LINES
The last three inputs of Basic Settings section:
”The Market Info Screener” feature will display a small panel on the right side of your chart that provides useful data about the market, including Open Interest, Volume, the aggressive side of traders, and the Leverage Ratio. More data coming in future updates.
"Level Legend" option will display a small legend on the right side of the chart, helping you or others viewing the chart to understand what the objects on the chart mean.
"Hide Filled Lines" option will hide liquidation levels that have already been filled, only displaying the active ones in order to reduce clutter on your chart.
APPEARANCE
The “Appearance” settings offer a variety of modifications for colors, styles, and visibility.
The "Line Style" input allows you to choose the style and width of the liquidation level lines. You can also select which levels to display, as well as the color of the liquidation level lines and bubbles. The "Max Number of Lines" input allows you to specify the number of level lines you want on a chart. If you feel that there is too much clutter, you can decrease this number, and old lines will be removed. Please note that Tradingview has a built-in limit of 500 lines on a given chart, so this value cannot be set above 500. The "Market Buy/Sell Bubble Style" input can be used to modify the color and style of the market order bubbles. Enabling the "Show Settings Screener" option will display a screener with a list of all your settings on the right side of the chart, making it easier to share your preferred settings with others."
STANDARD DEVIATION MULTIPLIERS
This is where you can set the standard deviation thresholds for Liquidation Levels and Market Order Bubbles. These values can be customized to your preference, as the default values may not be suitable for your needs or you may want to experiment with different values to see more or fewer liquidation levels or market order bubbles on your chart. Personally, I sometimes use this feature to increase the Large Size Market Orders or Large Size Liquidation Levels multipliers so that large-sized bubbles are only assigned to extremely large positions or volumes.
If you want to only analyze larger positions or volumes, you can increase the "Smaller Size" multipliers, which act as a minimum threshold.
If you also want to include even smaller positions or volumes in your analysis, you can decrease the values of the "Smaller Size" multipliers, which act as a minimum threshold
Please note that the "Reduce Sensitivity" option in Basic Settings affects the standard deviation multipliers of the liquidation levels. Changing the "Reduce Sensitivity" value will equally multiply all of them (the ratio between Smaller, Medium, and Large multiplier values will remain the same)
STANDARD DEVIATION LENGTH
"Standard Deviation Length" defines the length (number of bars) used in all calculations that utilize the standard deviation function in this script. Decreasing it will generate Liquidation Levels and Liquidation Bubbles based more on recent data. Increasing it will generate Liquidation Levels and Liquidation Bubbles based on more long-term data.
CVD LENGTH
"CVD Length" refers to the length used in calculating cumulative volumes. Decreasing it will generate Liquidation Levels, Market Order Bubbles, and apply Directional bias based more on recent data. Increasing it will generate those based on more long-term data."
LEVEL CALCULATION MODES
“Level Calculation Modes” enable you to switch between three modes of calculating the distance between the base and actual liquidation levels.
COPYRIGHT
"Copyright" option will add your username to the copyright section at the bottom of the chart, giving you credit for your analysis if you post it somewhere.
MacroCorrelation (Bitcoin Real Value)The best minds in the financial world think about how to determine the real value of an asset.
I constantly say that it is necessary to buy an asset only at the moment when its market price is below or equal to its fundamental value. Let's see what is the difference between these two concepts.
Fundamental value
Imagine that we decided to grow and sell, for example, strawberries. For this, we purchased the necessary equipment, tools, fertilizers, seeds, and more. Let's say that we needed $ 3000 for this purpose.
To facilitate the task, in our calculation we will not take into account all types of possible costs (electricity cost, workers' wages, necessary tax deductions, etc.).
If we had to take a loan to meet the initial needs, for example, at 10% per annum , then each borrowed $ 1000 in a year would cost us $ 1100. That is, $ 3000 would cost us $ 3300 per year.
Let's agree that our initial funds were completely enough to buy everything we needed, and we didn't need to take out a loan at a certain percentage. In this case, we exclude from the calculation the cost of the capital required to start your own business.
Suppose we managed to harvest 100 kg of strawberries. This means that the real value (fundamental value) of 1 kg of our strawberries is $ 30.
Market price
Things are a little different with the market price. The market price is determined by the volume of supply and demand for a particular product or service at a particular point in time.
By demand, we mean the intention to purchase a product or service (secured by the ability to pay a set price for it). A need that exceeds solvency is not a demand.
By offer, we mean the willingness to provide ownership (use) of the object of demand for a certain fee.
Simply put, the market price is the price at which the buyer is willing to buy (and the seller to sell) the volume of goods we need.
In our case, the price at which we sell 1 kg of our strawberries will depend on how much people really need our strawberries.
If we are the only sellers of strawberries in a certain territory and, at the same time, buyers really want to taste fresh strawberries, its market price can be as high as the last buyer is able to pay. If not, everything will depend on how high quality our product will be for its price. At the same time, the price constantly varies over a certain period of time ( seasonality and other factors). For example, if in winter we could sell 1 kg of our strawberries for $ 90, then in summer for $ 50. Strawberry prices range from $ 50 to $ 90.
Magic formula
We now understand what is the difference between fundamental value and market price. If the first is made up exclusively of a set of real metrics, the second is a variable factor that depends primarily on “human factors” (what is the maximum price the buyer is willing to pay, what is the minimum price the seller is willing to set at a particular moment in time).
You should try to buy an asset only at the moment when its market price is below or equal to its fundamental value.
However, how can you independently determine the fundamental value of an asset?
Unfortunately, there is no universal answer to this question, just as there is no universal “magic formula” in nature (my sincere respect, Joel Greenblatt) that could determine the fundamental value of any asset on the planet. The point is precisely in the criterion of universality. If we consider each asset (or at least the market) separately, we can well determine its fundamental value.
Even those things that seem free to us in everyday life (just their cost are negligible) have a fundamental value.
Three factors to assess the fundamental value of Bitcoin
Let's try to take a separate asset, for example Bitcoin , and do with it everything that we did earlier with our “strawberry business”.
When assessing the real (fundamental) value of Bitcoin , we will take into account 3 main factors.
1. The maximum possible and current supply in the Bitcoin market
The reward for mining a Bitcoin block is halved every 210,000 blocks. This fact is called halving (halving). When all blocks are mined, the total amount of existing bitcoins will be 21 million coins.
Accordingly, the maximum supply in the Bitcoin network will not exceed 21 million coins.
In reality, things are even better, since this volume also includes a certain amount of lost coins. By lost, we mean all those coins whose “private keys” the last owner no longer has access to. For example, at the time of the appearance of Bitcoin in 2009, its real value was doubtful and not obvious to most of its owners, many of whom did not pay due attention to understanding the safe storage of an asset, periodically losing access to hundreds and thousands of coins.
As a result, we understand that the total supply in the Bitcoin market will be significantly less than 21 million coins.
To evaluate the proposal, it is not enough to understand how much of the asset exists, because a certain amount of it, as we have already understood, can either be lost or be blocked for a long time. It is also important to take into account the criterion of “supply in time”. That is, the current total “liquidity” of the network.
2. Bitcoin network hashrate
The main indicator of the viability and stability of the Bitcoin network is the hash rate (computing power). Stable hashrate = network security.
3. The real value of the US dollar
When analyzing the Bitcoin / Dollar pair, in addition to the real value of Bitcoin , it is also necessary to take into account the real value of the US Dollar .
It is believed that assets such as stocks or cryptocurrencies are extremely volatile (the price can change over a wide range within a relatively short period of time). At the same time, to reduce volatility , experts advise using the so-called “currency baskets”.
A currency basket is a certain percentage of foreign currencies in which the investor's capital can be distributed. The ratio of currency units in the basket is used to reduce the potential risk of currency fluctuations.
The main problem is that, due to inflation , the purchasing power of the currencies themselves drops significantly over time.
With the $ 100 we earned in 1913, already in the 1920s we could have purchased 50% fewer goods and services than before. In the 1980s, it was 90% less, and in the 2010s it was already 98% less.
This fact must also be taken into account when assessing the real value of Bitcoin , since everything is relative, and in the Bitcoin / Dollar pair, we determine the value of Bitcoin , expressed in US dollars.
The real value of Bitcoin
After assessing the relationship of the factors described above and drawing up a mathematical formula, we can proceed to the analysis of the results. In order to cut off unnecessary noise when constructing the function, we will use the graph for 1 month.
Analyzing the resulting chart, first of all, the following is striking: the fundamental value of Bitcoin grows over time. This is due to the gradual expansion of the "user base" of the network, as well as the growth of its popularity among investors of completely different classes.
I propose to compare the graph obtained earlier with the graph of Internet users (in% of the number of adult US citizens ). Similar, don't they?
The more the number of Internet users, the higher its influence and economic potential. The more the number of users of the Bitcoin network, the higher its economic potential and fundamental value.
However, understanding the fundamental value alone is not enough. We, as investors, first of all need to understand when to buy any asset.
To do this, compare the chart of the market price of Bitcoin with the chart of its fundamental value obtained earlier.
Now that we have a complete picture of what is happening and understand both the fundamental value of the asset and its market price, the fact of the numerical prevalence of the price over the fundamental value for 116 out of 133 months becomes quite clear. Periods of Bitcoin being below its fundamental value are extremely rare and only take ~ 13% of the trading time.
For about 87% of all trading time, Bitcoin's market price is above its fundamental value. Those rare periods when traders are willing to sell bitcoin below its fundamental value are an incredible gift for a long-term investor.
Bull and Bear Markets
If you buy Bitcoin (like any other asset) below its fundamental value, this is an absolutely incredible idea in terms of potential profitability, who in their right mind would sell their assets below this mark ?!
It's all about the emotionality of people. Saying “I will not do stupid things when the time is right” is easier than actually maintaining composure. Especially when it comes to money. Your money. And sometimes even dreams.
The classical market theory usually divides the market into two main phases: A bull market is a period of time during which the price rises systematically (accordingly, the demands and expectations of traders gradually grow). A bear market is a period of time during which the price gradually falls (accordingly, traders' requests and expectations gradually fall).
There is also the concept of “correction”: A correction is a temporary change in the price of an asset, contrary to the main trend.
For the current day, there is not a single clear criterion that separates the concept of a bear / bull market from the concept of a correction. However, we can say with confidence that the market change (from bullish to bearish or from bearish to bullish ) is interconnected with the fundamental factors of the market. Corrections, on the other hand, have significantly less connection with fundamental indicators.
and are rather related to the “physiology of the market” (nothing can only rise in price every unit of time for a significantly long time, nothing can only fall in price every unit of time for a significantly long time).
In this case, the most rational would be to define a bear market as a delay in updating the absolute historical highs of the price with a preliminary touch of the fundamental value.
Buying below the fundamental value is always a smarter idea than buying above the fundamental value, since, in most cases, it is the touch of the fundamental value that globally separates a bear and a bull market.
Fun fact: If we were to buy Bitcoin every time it touched the fundamental value, the average buy price as of July 2021 would be $ 1,506.65, which is 87% less than the current fundamental value of Bitcoin .
Conclusions
1. The total amount of Bitcoins , as well as the speed of their production (mining) over time, are programmatically limited, which limits the volume of the maximum possible supply
2. Bitcoin is transported, which means that the volume of supply for the current minute will also depend on the actual volume of assets available for sale
3. The viability of the network is based on the amount of computer power supporting it (network hash rate)
4. When analyzing the Bitcoin / Dollar pair, in addition to the real value of Bitcoin , it is also necessary to take into account the real value of the US Dollar
5. Price ≠ fundamental value
6. Buying below the fundamental is always a smarter idea than buying above the fundamental.
7. Don't believe the headlines of financial news and the public words of financiers
8. Selling strawberries can make a fortune too
MarketReader[ENG] DARK THEMEMarket Reader is a very sophisticated indicator giving you:
-BUY and SELL Opportunities
-Key supports and resistances where the market will react
-Early detection of RANGE before the contact with the top or the bottom of the range, it will also give you the target of the top and the bottom of the range
-Pattern of smartmoney activities, giving you signal that smart money is moving at this level of price
You will also found my complete strategy on my Youtube Channel
Enjoy
Utilization requires subscription
TuxAlgo Plus SMC u. Trap Toolkit Rel.V0.98r by McTogaTuxAlgo Plus – Smart Money Concepts + Smart Money Traps + Fair Value Gaps Version: V0.98r (Alpha/Pre-Release) with integrated 2% risk calculator
The “TuxAlgo Plus” indicator is a powerful, standalone, conceptual open-source project and self-sufficient “smart money toolkit” with automatic trap detection (SMT), liquidity grabs, FVG confluence, and complete bot setup signals for TradingView charts in the “H1 to H6” time frame and the daily chart.
The script is used to improve SMC/trap analysis, i.e., the structure and visualization logic for TradingView charts has been expanded in the “TuxAlgo++” project in line with Smart Money Concepts (SMC) and Smart Money Traps (SMT).
The “TuxAlgo” Pine script is a standalone implementation of smart money concepts (structure, BOS/CHOCH, simple order blocks, fair value gaps) written from scratch. Terms such as “BOS,” “CHOCH,” “order block,” and “fair value gap” are commonly used concepts in market technology. This means that the market structure is often visible on the ‘H4’ time frame
and the trigger on the “H1” time frame.
Wyckoff Method - Comprehensive Analysis# WYCKOFF METHOD - QUICK REFERENCE CHEAT SHEET
## 🟢 STRONGEST BUY SIGNALS
### 1. SPRING ⭐⭐⭐⭐⭐
- **What:** False breakdown below support on LOW volume
- **Look for:** Quick reversal, close above support
- **Entry:** When price closes back in range
- **Stop:** Below spring low
- **Target:** Top of range minimum
### 2. SOS (Sign of Strength) ⭐⭐⭐⭐
- **What:** Breakout above resistance on HIGH volume
- **Look for:** Wide spread up bar, strong close
- **Entry:** On breakout or wait for LPS pullback
- **Stop:** Below range top
- **Target:** Height of range projected up
### 3. SHAKEOUT ⭐⭐⭐⭐
- **What:** Sharp move below support with HIGH volume, immediate reversal
- **Look for:** Long lower wick, closes strong
- **Entry:** When price reclaims support
- **Stop:** Below shakeout low
- **Target:** Previous resistance
---
## 🔴 STRONGEST SELL SIGNALS
### 1. UTAD (Upthrust After Distribution) ⭐⭐⭐⭐⭐
- **What:** False breakout above resistance, quick rejection
- **Look for:** Spike high, weak close, often high volume
- **Entry:** When price closes back in range
- **Stop:** Above UTAD high
- **Target:** Bottom of range minimum
### 2. SOW (Sign of Weakness) ⭐⭐⭐⭐
- **What:** Breakdown below support on HIGH volume
- **Look for:** Wide spread down bar, weak close
- **Entry:** On breakdown or wait for LPSY rally
- **Stop:** Above range bottom
- **Target:** Height of range projected down
### 3. UPTHRUST ⭐⭐⭐⭐
- **What:** Move above resistance on LOW volume, weak close
- **Look for:** Long upper wick, closes in lower half
- **Entry:** When resistance holds
- **Stop:** Above upthrust high
- **Target:** Support level
---
## 📊 ACCUMULATION PHASES (Bottom Formation)
```
PHASE A: Stopping the Downtrend
├─ PS (Preliminary Support) - First buying
├─ SC (Selling Climax) - Panic bottom ⚠️ KEY EVENT
├─ AR (Automatic Rally) - Relief bounce
└─ ST (Secondary Test) - Retest SC low
PHASE B: Building the Cause
├─ Trading range forms
├─ Multiple tests of support
├─ Volume decreasing
└─ Absorption occurring
PHASE C: The Test
├─ SPRING - False breakdown ⚠️ KEY EVENT
└─ TEST - Support holds on low volume
PHASE D: Dominance Emerges
├─ SOS - Breakout ⚠️ KEY EVENT
├─ LPS - Last Point of Support (pullback)
└─ BU - Backup
PHASE E: Markup
└─ New uptrend, strong momentum
```
**Background Color:** Blue → Green (getting brighter)
**Action:** Buy in Phase C/D, Hold through Phase E
---
## 📊 DISTRIBUTION PHASES (Top Formation)
```
PHASE A: Stopping the Uptrend
├─ PSY (Preliminary Supply) - First selling
├─ BC (Buying Climax) - Euphoric top ⚠️ KEY EVENT
├─ AR (Automatic Reaction) - Sharp drop
└─ ST (Secondary Test) - Retest BC high
PHASE B: Building the Cause
├─ Trading range forms
├─ Multiple tests of resistance
├─ Demand being absorbed
└─ Volume patterns change
PHASE C: The Test
└─ UTAD - False breakout ⚠️ KEY EVENT
PHASE D: Dominance Emerges
├─ SOW - Breakdown ⚠️ KEY EVENT
└─ LPSY - Last Point of Supply (rally to exit)
PHASE E: Markdown
└─ New downtrend, strong selling
```
**Background Color:** Orange → Red (getting darker)
**Action:** Sell in Phase C/D, Stay out during Phase E
---
## 💰 VOLUME SPREAD ANALYSIS (VSA)
| Signal | Meaning | Color | Implication |
|--------|---------|-------|-------------|
| **ND** (No Demand) | Up bar, LOW volume | 🟠 Orange | Weakness - uptrend ending |
| **NS** (No Supply) | Down bar, LOW volume | 🔵 Blue | Strength - downtrend ending |
| **SV** (Stopping Volume) | VERY HIGH volume, narrow spread | 🟣 Purple | Potential reversal |
| **UT** (Upthrust) | Above resistance, LOW vol, weak close | 🔴 Red | Sell signal |
| **SO** (Shakeout) | Below support, HIGH vol, strong close | 🟢 Green | Buy signal |
---
## 🎯 VOLUME INTERPRETATION
| Volume Level | Bar Color | Meaning |
|--------------|-----------|---------|
| **VERY HIGH** (>2x average) | Dark Green/Red | Climax, potential reversal |
| **HIGH** (>1.5x average) | Light Green/Red | Strong interest |
| **NORMAL** | Gray | Average trading |
| **LOW** (<0.7x average) | Faint Gray | Testing, no interest |
---
## ⚖️ EFFORT vs RESULT
| Scenario | Volume | Spread | Meaning |
|----------|--------|--------|---------|
| **High Effort, Low Result** | HIGH | Narrow | ⚠️ Potential reversal |
| **Low Effort, High Result** | LOW | Wide | ⚠️ Trend weakening |
| **High Effort, High Result** | HIGH | Wide | ✅ Strong trend |
| **Low Effort, Low Result** | LOW | Narrow | 😴 No interest |
---
## 📏 TRADING RULES
### ✅ DO:
- ✅ Wait for confirmation before entering
- ✅ Trade in direction of higher timeframe
- ✅ Use springs and UTAD as primary signals
- ✅ Measure trading range for targets
- ✅ Place stops outside the range
- ✅ Look for volume confirmation
- ✅ Check multiple timeframes
- ✅ Focus on Phase C and D events
### ❌ DON'T:
- ❌ Buy during Phase E Markdown
- ❌ Sell during Phase E Markup
- ❌ Trade against major trend
- ❌ Ignore volume signals
- ❌ Enter without clear stop loss
- ❌ Trade every signal
- ❌ Use on very low timeframes without practice
- ❌ Ignore the context
---
## 🎪 COMPOSITE OPERATOR (Smart Money)
### 💰 Green Money Symbol (Bottom)
- **Meaning:** Institutions accumulating
- **Location:** Demand zones, springs, tests
- **Action:** Follow the smart money - buy
### 💰 Red Money Symbol (Top)
- **Meaning:** Institutions distributing
- **Location:** Supply zones, UTAD, weak rallies
- **Action:** Follow the smart money - sell
---
## 📍 SUPPLY & DEMAND ZONES
### 🟢 Demand Zones (Green Boxes)
- **Created at:** SC, Spring, Shakeout
- **Represents:** Where smart money bought
- **Action:** Look for bounces
### 🔴 Supply Zones (Red Boxes)
- **Created at:** BC, UTAD, Upthrust
- **Represents:** Where smart money sold
- **Action:** Look for rejections
---
## 🎯 TARGET CALCULATION
### Measured Move Method
```
1. Measure trading range height
Example: Top at 120, Bottom at 100 = 20 points
2. Add to breakout point (accumulation)
Breakout at 120 + 20 = Target: 140
3. Or subtract from breakdown (distribution)
Breakdown at 100 - 20 = Target: 80
```
### Multiple Targets
- **Conservative:** 1x range height (100% probability reached)
- **Moderate:** 1.5x range height (70% probability)
- **Aggressive:** 2x range height (40% probability)
---
## ⏰ TIMEFRAME GUIDE
| Timeframe | Use For | Reliability | Recommended For |
|-----------|---------|-------------|-----------------|
| **Weekly** | Major trends | ⭐⭐⭐⭐⭐ | Position traders |
| **Daily** | Swing trades | ⭐⭐⭐⭐⭐ | Most traders |
| **4-Hour** | Active swing | ⭐⭐⭐⭐ | Active traders |
| **1-Hour** | Day trading | ⭐⭐⭐ | Experienced only |
| **15-Min** | Scalping | ⭐⭐ | Experts only |
**Golden Rule:** Always check one timeframe higher for context!
---
## 🚨 ALERT PRIORITY
### 🔔 MUST-HAVE ALERTS
1. Spring
2. UTAD
3. SOS
4. SOW
### 🔔 NICE-TO-HAVE ALERTS
5. Selling Climax (SC)
6. Buying Climax (BC)
7. Smart Money Accumulation
8. Smart Money Distribution
### 🔔 CONFIRMATION ALERTS
9. Phase E Markup
10. Phase E Markdown
---
## 💡 QUICK DECISION TREE
```
Is there a clear trading range?
├─ YES
│ ├─ Did price break BELOW support?
│ │ ├─ Volume LOW + Quick reversal = SPRING → BUY ✅
│ │ └─ Volume HIGH + Stays down = Breakdown → SELL ⚠️
│ │
│ └─ Did price break ABOVE resistance?
│ ├─ Volume LOW + Quick reversal = UTAD → SELL ✅
│ └─ Volume HIGH + Stays up = Breakout → BUY ⚠️
│
└─ NO
├─ Strong uptrend = Wait for re-accumulation
└─ Strong downtrend = Wait for re-distribution
```
---
## 📝 PRE-TRADE CHECKLIST
Before entering any trade:
- Identified the current Wyckoff phase
- Confirmed with volume analysis
- Checked higher timeframe trend
- Located supply/demand zones
- Identified clear entry point
- Set stop loss level
- Calculated target (risk:reward >1:2)
- Verified position size (risk 1-2%)
- Have at least 2 confirming signals
- Not trading against major trend
---
## 🧠 REMEMBER
**The Three Laws:**
1. **Supply & Demand** - Price is determined by imbalance
2. **Cause & Effect** - Range size predicts move size
3. **Effort & Result** - Volume should confirm price movement
**The Key Principle:**
> "Trade with the Composite Operator (smart money), not against them"
**Best Setups:**
1. Spring in accumulation (Phase C)
2. UTAD in distribution (Phase C)
3. SOS breakout (Phase D)
4. SOW breakdown (Phase D)
**When in Doubt:**
- ❓ Stay out
- 📈 Use higher timeframe
- 📚 Review the documentation
- 🎯 Wait for clearer signal
---
## 📱 INDICATOR SETTINGS QUICK SETUP
**For Stocks/Crypto (Good Volume Data):**
- Volume MA Length: 20
- High Volume Multiplier: 1.5
- Climax Volume: 2.0
- Swing Length: 5
**For Forex (Limited Volume Data):**
- Volume MA Length: 20
- High Volume Multiplier: 1.3
- Climax Volume: 1.8
- Swing Length: 7
- Turn OFF "Volume Confirmation"
**For Day Trading:**
- Swing Length: 3
- All other settings: Default
**For Position Trading:**
- Swing Length: 7-10
- Volume MA Length: 30
- Use Daily/Weekly charts
---
## 🎓 SKILL PROGRESSION
### Beginner (Month 1-2)
- Focus on: SC, Spring, SOS
- Timeframe: Daily only
- Goal: Identify phases correctly
### Intermediate (Month 3-6)
- Add: All accumulation events
- Timeframe: Daily + 4H
- Goal: Trade springs profitably
### Advanced (Month 6-12)
- Add: Distribution events, VSA
- Timeframe: Multiple timeframes
- Goal: Trade complete cycles
### Expert (Year 2+)
- Master: All events, all timeframes
- Combine: With other methodologies
- Goal: Consistent profitability
---
**Print this sheet and keep it next to your trading desk!**
*Remember: Quality over quantity. Wait for the best setups.*
# Wyckoff Method - Comprehensive Analysis Indicator
## Complete Implementation Guide for TradingView Pine Script
---
## TABLE OF CONTENTS
1. (#overview)
2. (#installation)
3. (#theory)
4. (#components)
5. (#signals)
6. (#strategies)
7. (#settings)
8. (#alerts)
9. (#patterns)
10. (#troubleshooting)
---
## OVERVIEW
This indicator implements Richard Wyckoff's complete trading methodology, including:
- **All 5 Phases** of Accumulation and Distribution
- **18+ Wyckoff Events** (PS, SC, AR, ST, Spring, SOS, LPS, BC, UTAD, SOW, etc.)
- **Volume Spread Analysis (VSA)** principles
- **Supply & Demand Zone** detection
- **Composite Operator** logic (Smart Money tracking)
- **Effort vs Result** analysis
- **Three Wyckoff Laws**: Supply/Demand, Cause/Effect, Effort/Result
---
## INSTALLATION
### Step 1: Copy the Code
1. Open the `wyckoff_comprehensive.pine` file
2. Select all code (Ctrl+A / Cmd+A)
3. Copy to clipboard (Ctrl+C / Cmd+C)
### Step 2: Add to TradingView
1. Go to TradingView.com
2. Open any chart
3. Click "Pine Editor" at the bottom of the screen
4. Click "New" or "Open"
5. Paste the entire code
6. Click "Save" and give it a name
7. Click "Add to Chart"
### Step 3: Verify Installation
You should see:
- Labels on the chart (PS, SC, Spring, SOS, etc.)
- Background colors indicating phases
- Volume analysis in the lower pane
- A table in the top-right corner showing current phase
---
## WYCKOFF METHOD THEORY
### The Three Fundamental Laws
#### 1. **Law of Supply and Demand**
- Price rises when demand exceeds supply
- Price falls when supply exceeds demand
- The indicator tracks volume vs price movement to identify imbalances
#### 2. **Law of Cause and Effect**
- A period of accumulation (cause) leads to markup (effect)
- A period of distribution (cause) leads to markdown (effect)
- Trading ranges build "cause" for future price movement
#### 3. **Law of Effort vs Result**
- **Effort** = Volume (energy put into the market)
- **Result** = Price movement (spread of the bar)
- High effort with low result = potential reversal
- Low effort with high result = trend weakness
### The Five Phases
#### **ACCUMULATION CYCLE**
**Phase A: Stopping the Downtrend**
- Preliminary Support (PS): First sign of buying
- Selling Climax (SC): Panic selling exhaustion
- Automatic Rally (AR): Bounce from SC
- Secondary Test (ST): Test of SC low on lower volume
**Phase B: Building the Cause**
- Trading range develops
- Supply being absorbed by composite operator
- Multiple tests of support and resistance
- Volume generally decreases
**Phase C: The Test (Spring)**
- False breakdown below support
- Traps late sellers
- Quick reversal on low volume
- Last chance to accumulate before markup
**Phase D: Dominance Emerges**
- Sign of Strength (SOS): Break above resistance
- Last Point of Support (LPS): Pullback opportunity
- Backup (BU): Final consolidation
- Demand clearly exceeds supply
**Phase E: Markup**
- New uptrend established
- Price moves rapidly higher
- Phase E can last months/years
- Original trading range becomes support
#### **DISTRIBUTION CYCLE**
**Phase A: Stopping the Uptrend**
- Preliminary Supply (PSY): First sign of selling
- Buying Climax (BC): Euphoric buying exhaustion
- Automatic Reaction (AR): Sharp selloff from BC
- Secondary Test (ST): Test of BC high on lower volume
**Phase B: Building the Cause**
- Trading range at top
- Demand being absorbed by composite operator
- Multiple tests of support and resistance
**Phase C: The Test (UTAD)**
- Upthrust After Distribution
- False breakout above resistance
- Traps late buyers
- Quick reversal
**Phase D: Dominance Emerges**
- Sign of Weakness (SOW): Break below support
- Last Point of Supply (LPSY): Rally opportunity to exit
- Supply clearly exceeds demand
**Phase E: Markdown**
- New downtrend established
- Price moves rapidly lower
- Original trading range becomes resistance
---
## INDICATOR COMPONENTS
### 1. EVENT LABELS
#### Accumulation Events (Green labels)
- **PS** = Preliminary Support
- **SC** = Selling Climax (largest label, most important)
- **AR** = Automatic Rally
- **ST** = Secondary Test
- **SPRING** = Spring (critical buy signal)
- **TEST** = Test of support
- **SOS** = Sign of Strength (breakout)
- **LPS** = Last Point of Support
- **BU** = Backup
#### Distribution Events (Red labels)
- **PSY** = Preliminary Supply
- **BC** = Buying Climax (largest label, most important)
- **AR** = Automatic Reaction
- **ST** = Secondary Test
- **UTAD** = Upthrust After Distribution (critical sell signal)
- **SOW** = Sign of Weakness
- **LPSY** = Last Point of Supply
#### VSA Events (Small colored labels)
- **ND** (Orange) = No Demand - weakness
- **NS** (Blue) = No Supply - strength
- **SV** (Purple) = Stopping Volume
- **UT** (Red) = Upthrust - weakness
- **SO** (Green) = Shakeout - strength
#### Composite Operator (💰 symbols)
- Green 💰 at bottom = Smart Money Accumulation
- Red 💰 at top = Smart Money Distribution
### 2. BACKGROUND COLORS
- **Light Blue** = Phase A (Accumulation)
- **Light Orange** = Phase A (Distribution)
- **Very Light Green** = Phase C (Accumulation Testing)
- **Very Light Red** = Phase C (Distribution Testing)
- **Light Green** = Phase D (Accumulation Strength)
- **Light Red** = Phase D (Distribution Weakness)
- **Green** = Phase E (Markup - Bull trend)
- **Red** = Phase E (Markdown - Bear trend)
### 3. SUPPLY & DEMAND ZONES
- **Green boxes** = Demand zones (where smart money accumulated)
- **Red boxes** = Supply zones (where smart money distributed)
- Zones extend 20 bars into the future
- Price reactions at these zones are significant
### 4. VOLUME PANEL
- **Dark Green/Red bars** = Very High Volume (climax)
- **Light Green/Red bars** = High Volume
- **Gray bars** = Normal Volume
- **Faint Gray bars** = Low Volume
- **Blue line** = Volume Moving Average
### 5. INFORMATION TABLE (Top Right)
Displays real-time analysis:
- **Current Phase** (A, B, C, D, or E)
- **Status** (description of what's happening)
- **Volume** (Very High, High, Normal, Low)
- **Spread** (Wide, Normal, Narrow)
- **Effort/Result** (Poor, Normal, Good)
- **Range** (YES if in trading range)
- **Bias** (BULLISH, BEARISH, or NEUTRAL)
---
## HOW TO READ THE SIGNALS
### STRONG BUY SIGNALS (in order of strength)
1. **SPRING** (strongest)
- False breakdown below support
- Look for: Low volume, quick reversal, close above support
- Entry: When price closes back above support level
- Stop: Below the spring low
2. **SOS (Sign of Strength)**
- Break above trading range resistance
- Look for: High volume, wide spread up bar
- Entry: On breakout or pullback to LPS
- Stop: Below trading range
3. **Shakeout (SO)**
- Similar to spring but more violent
- Look for: High volume, penetration of support, strong close
- Entry: When price reclaims support
- Stop: Below shakeout low
4. **LPS (Last Point of Support)**
- Pullback after SOS
- Look for: Low volume, shallow pullback
- Entry: When support holds
- Stop: Below LPS
5. **No Supply (NS)**
- Down bar on very low volume
- Indicates lack of selling pressure
- Confirms accumulation phase
### STRONG SELL SIGNALS (in order of strength)
1. **UTAD (Upthrust After Distribution)** (strongest)
- False breakout above resistance
- Look for: High volume spike, rejection, close below resistance
- Entry: When price closes back below resistance
- Stop: Above UTAD high
2. **SOW (Sign of Weakness)**
- Break below trading range support
- Look for: High volume, wide spread down bar
- Entry: On breakdown or rally to LPSY
- Stop: Above trading range
3. **Upthrust (UT)**
- Move above resistance on low volume, weak close
- Look for: Low volume, close in lower half of bar
- Entry: When resistance becomes resistance again
- Stop: Above upthrust high
4. **LPSY (Last Point of Supply)**
- Rally after SOW
- Look for: Low volume, weak rally
- Entry: When rally fails
- Stop: Above LPSY
5. **No Demand (ND)**
- Up bar on very low volume
- Indicates lack of buying pressure
- Confirms distribution phase
### NEUTRAL/WARNING SIGNALS
- **High Effort, Low Result** = Potential reversal coming
- **Stopping Volume** = Trend may be ending
- **Absorption** = Large volume with small movement (accumulation/distribution)
---
## TRADING STRATEGY EXAMPLES
### Strategy 1: Accumulation Range Breakout
**Setup:**
1. Identify trading range (blue background in Phase B)
2. Wait for Spring or Test (Phase C)
3. Wait for SOS breakout (Phase D)
**Entry:**
- Option A: Buy on SOS breakout
- Option B: Wait for LPS pullback (better risk/reward)
**Stop Loss:**
- Below the spring low or trading range bottom
**Target:**
- Measure height of trading range (cause)
- Project upward from breakout point (effect)
- Minimum target = range height
**Example:**
```
Trading Range: 100 to 120 (20 point range)
SOS Breakout at: 120
Target: 120 + 20 = 140 minimum
```
### Strategy 2: Distribution Range Breakdown
**Setup:**
1. Identify trading range after uptrend
2. Wait for UTAD (Phase C)
3. Wait for SOW breakdown (Phase D)
**Entry:**
- Option A: Sell on SOW breakdown
- Option B: Wait for LPSY rally (better risk/reward)
**Stop Loss:**
- Above the UTAD high or trading range top
**Target:**
- Measure height of trading range
- Project downward from breakdown point
- Minimum target = range height
### Strategy 3: Spring Trading
**Setup:**
1. Strong downtrend followed by range
2. Price breaks below range bottom
3. Volume is LOW on breakdown
4. Price quickly reverses and closes above support
**Entry:**
- When candle closes above support level
- Or on retest of support
**Stop Loss:**
- Below spring low (usually tight)
**Target:**
- Top of trading range
- Previous swing high
**Risk/Reward:**
- Typically 1:3 or better
### Strategy 4: Smart Money Tracking
**Setup:**
1. Look for 💰 symbols in demand zones
2. Multiple accumulation signals (PS, SC, ST, Test)
3. Volume decreasing during range
**Entry:**
- At next demand zone test
- On SOS breakout
**Confirmation:**
- Background turning green (Phase D/E)
- Table shows "BULLISH" bias
### Strategy 5: VSA Reversal
**Setup:**
1. Strong trend in place
2. Stopping Volume (SV) appears at extreme
3. Followed by No Demand (ND) or No Supply (NS)
**Entry:**
- When trend breaks down/up
- On retest of extreme
**Example (Bullish):**
```
Downtrend → Stopping Volume → No Supply → Up bar
Entry: Buy when price moves above SV bar
```
---
## SETTINGS & CUSTOMIZATION
### Volume Analysis Settings
**Volume MA Length** (default: 20)
- Shorter = More sensitive to volume changes
- Longer = Smoother, less noise
- Recommended: 15-25 for most timeframes
**High Volume Multiplier** (default: 1.5)
- Threshold for "high volume"
- Lower = More signals
- Higher = Only extreme volume
- Recommended: 1.3-2.0
**Climax Volume Multiplier** (default: 2.0)
- Threshold for climax events (SC, BC)
- Should be significantly higher than normal
- Recommended: 2.0-3.0
### Phase Detection Settings
**Swing Detection Length** (default: 5)
- How many bars to look left/right for swing points
- Shorter = More swings detected (more noise)
- Longer = Fewer swings (cleaner, might miss some)
- Recommended: 3-7
**Range Expansion Threshold** (default: 1.5)
- Multiplier for "wide spread" bars
- Higher = Only very wide bars qualify
- Recommended: 1.3-2.0
**Volume Confirmation** (default: ON)
- Requires volume confirmation for events
- Turn OFF for very low volume instruments
- Keep ON for stocks, forex, crypto
### Display Options
Toggle on/off:
- ✅ **Show Accumulation/Distribution Phases** - Background colors
- ✅ **Show Wyckoff Events** - All labeled events
- ✅ **Show Volume Spread Analysis** - VSA labels
- ✅ **Show Supply/Demand Zones** - Boxes on chart
- ✅ **Show Composite Operator Signals** - 💰 symbols
### Color Customization
- **Bullish Color** - All accumulation events
- **Bearish Color** - All distribution events
- **Neutral Color** - Range/neutral signals
---
## ALERT SETUP
### Available Alerts
1. **Selling Climax (SC)** - Potential bottom forming
2. **Spring** - Strong buy signal
3. **Sign of Strength (SOS)** - Bullish breakout
4. **Buying Climax (BC)** - Potential top forming
5. **UTAD** - Strong sell signal
6. **Sign of Weakness (SOW)** - Bearish breakdown
7. **Phase E Markup** - Uptrend confirmed
8. **Phase E Markdown** - Downtrend confirmed
9. **Smart Money Accumulation** - Institutions buying
10. **Smart Money Distribution** - Institutions selling
### How to Set Up Alerts
1. Click the "⏰" icon on TradingView
2. Select "Create Alert"
3. Condition: Choose the indicator and alert type
4. Example: "Wyckoff Method - Spring"
5. Set notification preferences (popup, email, webhook)
6. Click "Create"
### Recommended Alert Strategy
**Conservative Trader:**
- Spring
- SOS
- UTAD
- SOW
**Aggressive Trader:**
- Add: SC, BC, Smart Money signals
**Long-term Investor:**
- Phase E Markup
- Phase E Markdown
- Smart Money Accumulation
---
## COMMON PATTERNS
### Pattern 1: Classic Accumulation
```
Phase A: Downtrend → PS → SC → AR → ST
Phase B: Range building (4-12 weeks typical)
Phase C: Spring (false breakdown)
Phase D: SOS → LPS → BU
Phase E: Markup (new uptrend)
```
**What to do:**
- Mark the range boundaries
- Wait for spring
- Buy on LPS or SOS
- Hold through markup
### Pattern 2: Classic Distribution
```
Phase A: Uptrend → PSY → BC → AR → ST
Phase B: Range building (topping process)
Phase C: UTAD (false breakout)
Phase D: SOW → LPSY
Phase E: Markdown (new downtrend)
```
**What to do:**
- Mark the range boundaries
- Wait for UTAD
- Sell on LPSY or SOW
- Stay out during markdown
### Pattern 3: Re-Accumulation
```
Uptrend → Trading Range → Spring → Uptrend continues
```
- Occurs during existing uptrend
- Shorter accumulation period
- Often no clear SC (trend is already up)
- Spring is the key signal
### Pattern 4: Re-Distribution
```
Downtrend → Trading Range → UTAD → Downtrend continues
```
- Occurs during existing downtrend
- Shorter distribution period
- Often no clear BC (trend is already down)
- UTAD is the key signal
### Pattern 5: Failed Breakout
**Bullish Failed Breakout:**
```
Range → Breakdown → Immediate reversal (Spring)
```
- Price breaks support
- Volume is LOW
- Immediate strong reversal
- Very bullish
**Bearish Failed Breakout:**
```
Range → Breakout → Immediate reversal (UTAD)
```
- Price breaks resistance
- Volume may be high initially
- Quick rejection and reversal
- Very bearish
---
## TIMEFRAME RECOMMENDATIONS
### Daily Charts (Most Reliable)
- Best for swing trading
- Clear phases and events
- Less noise
- Recommended for beginners
### 4-Hour Charts
- Good for active swing traders
- Faster signals than daily
- Still reliable
### 1-Hour Charts
- For day traders
- More false signals
- Need to filter carefully
- Use in conjunction with higher timeframe
### 15-Minute / 5-Minute
- Only for experienced traders
- High noise level
- Many false signals
- Use daily chart for context
**Golden Rule:** Always check higher timeframe first!
---
## MULTI-TIMEFRAME ANALYSIS
### Top-Down Approach (Recommended)
1. **Weekly Chart** - Identify major trend and phase
2. **Daily Chart** - Find current accumulation/distribution
3. **4H Chart** - Identify entry timing
4. **Entry Timeframe** - Execute trade
### Example Analysis:
**Weekly:** Phase E Markup (bullish)
**Daily:** Phase B Re-accumulation
**4-Hour:** Spring detected
**Action:** Buy on daily LPS
---
## WYCKOFF + OTHER INDICATORS
### Complementary Tools
1. **Moving Averages**
- 20/50 SMA for trend context
- Already plotted on indicator
2. **RSI**
- Divergences at SC/BC
- Confirms overbought/oversold
3. **MACD**
- Confirms trend change in Phase D
- Divergences support Wyckoff events
4. **Volume Profile**
- Identifies value areas
- Confirms supply/demand zones
5. **Order Flow / Footprint Charts**
- See institutional activity
- Confirms smart money signals
**Don't Over-Complicate:**
- Wyckoff is a complete system
- Other indicators are supplementary
- When in doubt, trust Wyckoff
---
## TROUBLESHOOTING
### Issue: Too Many Labels
**Solution:**
- Increase swing length (Settings → 7 or 10)
- Increase volume multipliers
- Turn off VSA labels if not needed
- Focus on major events only (SC, Spring, SOS, BC, UTAD, SOW)
### Issue: Missing Expected Events
**Solution:**
- Decrease swing length (Settings → 3)
- Decrease volume multipliers
- Turn OFF volume confirmation
- Check timeframe (use daily chart)
### Issue: False Signals
**Solution:**
- Use higher timeframe
- Wait for confirmation
- Don't trade against major trend
- Look for multiple signal convergence
### Issue: Can't See Background Colors
**Solution:**
- Check "Show Phases" is enabled
- Increase monitor brightness
- Colors are subtle by design (not to obscure price)
### Issue: Volume Shows Incorrectly
**Solution:**
- Ensure volume data is available for your symbol
- Some symbols have poor volume data
- Forex spot pairs have no real volume
- Use futures or stock markets for best results
### Issue: No Trading Range Detected
**Solution:**
- Market may be trending strongly
- Trading range might be too small
- Wait for price to consolidate
- Not all markets have clear ranges
---
## ADVANCED TIPS
### 1. Count Point & Figure Charts
- Wyckoff used P&F to measure "cause"
- Width of range × height = minimum move target
- Longer accumulation = larger markup
### 2. Watch for Absorption
- High volume + narrow spread = someone absorbing
- In downtrend = accumulation
- In uptrend = distribution
### 3. Multiple Timeframe Springs
- Spring on daily + spring on weekly = very strong
- Increases probability significantly
### 4. Failed Signals Are Signals Too
- Failed spring = weakness, expect lower
- Failed UTAD = strength, expect higher
### 5. Context is King
- Don't buy during Phase E Markdown
- Don't sell during Phase E Markup
- Respect the major trend
### 6. Volume Precedes Price
- Study volume changes first
- Price follows volume
- Decreasing volume in range = building energy
### 7. Composite Operator Mindset
- Think like institutions
- Where would smart money buy/sell?
- They need liquidity (retail traders)
---
## RISK MANAGEMENT
### Position Sizing
**Conservative:**
- Risk 1% per trade
- Wider stops at range boundaries
**Moderate:**
- Risk 1-2% per trade
- Stops below spring/above UTAD
**Aggressive:**
- Risk 2-3% per trade
- Tight stops
- Higher win rate needed
### Stop Loss Placement
**Accumulation:**
- Below spring low
- Below trading range bottom
- Below demand zone
**Distribution:**
- Above UTAD high
- Above trading range top
- Above supply zone
### Take Profit Strategy
**Method 1: Measured Move**
- Range height = minimum target
- 2x range height = extended target
**Method 2: Fibonacci Extensions**
- 1.0 = range height
- 1.618 = extended target
- 2.618 = maximum target
**Method 3: Trail the Stop**
- Move stop to breakeven at 1R
- Trail under swing lows in markup
- Lock in profits progressively
---
## BACKTESTING CHECKLIST
Before trading with real money:
- Backtest on 50+ historical examples
- Record all signals in trading journal
- Calculate win rate (aim for >50%)
- Calculate average R:R (aim for >1:2)
- Test on multiple instruments
- Test on multiple timeframes
- Test in different market conditions
- Verify signal consistency
- Practice on demo account
- Start small with real money
---
## RECOMMENDED READING
### Books
1. **"Studies in Tape Reading"** - Richard D. Wyckoff
2. **"The Richard D. Wyckoff Method"** - Rubén Villahermosa
3. **"Charting the Stock Market: The Wyckoff Method"** - Jack Hutson
4. **"Master the Markets"** - Tom Williams (VSA)
### Courses
1. Wyckoff Analytics - Official Wyckoff course
2. TradeVSA - Volume Spread Analysis
3. StockCharts - Wyckoff education
### Communities
1. Wyckoff Analytics Forum
2. Reddit r/Wyckoff
3. TradingView Wyckoff ideas section
---
## FREQUENTLY ASKED QUESTIONS
**Q: Can I use this on crypto?**
A: Yes, works well on major cryptocurrencies with good volume.
**Q: Does it work on forex?**
A: Yes, but use futures volume (like 6E for EUR/USD) for better accuracy.
**Q: What's the best timeframe?**
A: Daily chart for most traders. 4H for more active trading.
**Q: How long does accumulation last?**
A: Typically 2-12 weeks. Longer accumulation = bigger markup.
**Q: Can I automate this?**
A: You can use the alerts, but manual analysis is recommended.
**Q: What's the win rate?**
A: With proper filtering: 60-70% on major signals (Spring, UTAD, SOS, SOW).
**Q: Should I trade every signal?**
A: No. Focus on Spring, UTAD, SOS, and SOW in trending markets.
**Q: What if I see conflicting signals?**
A: Use higher timeframe for context. When in doubt, stay out.
**Q: How do I know which phase I'm in?**
A: Check the table in top-right corner. Also look at background color.
**Q: Can I use this for options trading?**
A: Yes, excellent for timing option entries (especially around Spring/UTAD).
---
## FINAL THOUGHTS
The Wyckoff Method is:
- **A complete trading system** (not just an indicator)
- **Based on 100+ years** of market wisdom
- **Used by institutions** and professional traders
- **Requires practice** and screen time
- **Highly effective** when applied correctly
**Success Tips:**
1. Start with daily charts
2. Focus on major events (SC, Spring, SOS, BC, UTAD, SOW)
3. Always check higher timeframe context
4. Wait for confirmation before entering
5. Manage risk properly
6. Keep a trading journal
7. Be patient - wait for the best setups
**Remember:**
- Not every range will have all events
- Some phases may be abbreviated
- Context and confluence matter most
- Practice makes perfect
---
## SUPPORT & UPDATES
For questions, improvements, or bug reports:
- Check TradingView script comments
- Join Wyckoff trading communities
- Study historical examples
- Practice on demo accounts
**Good luck and happy trading!**
---
*Disclaimer: This indicator is for educational purposes. Always do your own analysis and risk management. Past performance does not guarantee future results.*
# WYCKOFF VISUAL SETUP EXAMPLES
## ACCUMULATION SCHEMATIC #1 (Classic Bottom)
```
Price Chart View:
│ PHASE E
│ MARKUP
│ ╱
│ ╱
┌─SOS─────┤ ╱
│ │ ╱
┌───────────┤ ┌LPS │╱
│ PHASE B │ │ │
│ (Cause) └──┴──────┤
┌AR──┤ │
┌────┤ │ ┌─Spring │ PHASE D
│ └ST──┤ │ │
│ │ │ │
────SC────────┴─────────┴───────────┴──────────
│
PS
│ PHASE A
│
Downtrend
```
### PHASE A - Stopping the Downtrend
```
PS: │ High volume down bar
▼ First sign of support
■ Not bottom yet
SC: │ VERY HIGH volume
▼ Panic selling exhaustion
█ Long lower wick
█ This is the low
AR: │ Automatic rally
▲ Relief bounce
■ High volume acceptable
ST: │ Secondary test
▼ Low volume (KEY!)
■ Tests SC low
```
### PHASE B - Building the Cause
```
┌─────────┐
│ ~~~ │ Multiple tests
│ ~ ~ │ Volume decreases
│~ ~ │ Range gets tighter
└─────────┘
Duration: 2-12 weeks typical
The longer, the bigger the eventual move
```
### PHASE C - The Test (SPRING)
```
║ False breakdown
─────╨─────
▼ Low volume
█ Breaks below support
■
█ Quick reversal
▲ Closes ABOVE support
CRITICAL: Volume must be LOW
Close must be strong
Happens quickly (1-3 bars)
```
### PHASE D - Strength Emerges
```
SOS: ▲ Sign of Strength
────╥──── Break above resistance
║ High volume
║ Wide spread
LPS: ▼ Last Point Support
■ Pullback on LOW volume
▲ Great entry point
BU: ▲ Backup
■ Final consolidation
▲ Before markup
```
### PHASE E - Markup
```
╱
╱
╱ Strong uptrend
╱ High momentum
╱ Can last months/years
──╱──
```
---
## DISTRIBUTION SCHEMATIC #2 (Classic Top)
```
Price Chart View:
Uptrend
│
PSY
│ PHASE A
────BC────────┬─────────┬───────────┬──────────
│ │ UTAD │
│ PHASE B │ │ PHASE D
┌AR──┤ ┌LPSY │ │
│ │ │ └───────────┤
│ └──┴──────┐ │╲
└ST──┤ │ │ ╲
│ └───────────┤ ╲
└─SOW─────┤ │ ╲
│ │ ╲
│ PHASE C │ ╲
│ │ PHASE E
│ │ MARKDOWN
```
### PHASE A - Stopping the Uptrend
```
PSY: │ High volume up bar
▲ Preliminary supply
■ Selling starting
BC: │ VERY HIGH volume
▲ Buying climax
█ Euphoric top
█ Long upper wick
AR: │ Automatic reaction
▼ Sharp selloff
■ High volume
ST: │ Secondary test
▲ Low volume (KEY!)
■ Tests BC high
```
### PHASE C - The Test (UTAD)
```
▲ False breakout
────╥────
║ Breaks ABOVE resistance
║ Often high volume spike
▼
█ Rejection / weak close
█ Closes BELOW resistance
▼
CRITICAL: Closes weak
Quick rejection
Traps buyers
```
### PHASE D - Weakness Emerges
```
SOW: ▼ Sign of Weakness
────╨──── Break below support
║ High volume
║ Wide spread
LPSY: ▲ Last Point Supply
■ Rally on LOW volume
▼ Last chance to exit
```
---
## VOLUME PATTERNS (Critical to Understanding)
### ACCUMULATION Volume Pattern
```
Volume
│ SC
█
█ ST
■ ■ Spring
■ ■ ■ SOS LPS
──┴────┴────┴──────█───■────►
│ │ │ │ │
│ │ │ │ │
A A C D D
Pattern: HIGH → low → low → HIGH → low
Key: Volume DECREASES during range
INCREASES on breakout
```
### DISTRIBUTION Volume Pattern
```
Volume
│ BC
█
█ ST
■ ■ UTAD
■ ■ ■ SOW LPSY
──┴────┴────┴──────█───■────►
│ │ │ │ │
│ │ │ │ │
A A C D D
Pattern: HIGH → low → varies → HIGH → low
Key: Volume MAY increase on UTAD
Definitely HIGH on breakdown (SOW)
```
---
## REAL TRADE SETUPS
### Setup #1: SPRING BUY
```
Entry Conditions:
1. Clear trading range identified
2. Price breaks BELOW support
3. Volume is LOW (critical!)
4. Price reverses QUICKLY
5. Closes ABOVE support level
Entry: Next bar or on retest
Stop: Below spring low
Target: Top of range (minimum)
Example:
Support: $100
Spring low: $98 (low volume)
Close: $101
Entry: $102
Stop: $97.50
Target: $120 (range top)
Risk/Reward: 1:4
```
### Setup #2: UTAD SELL
```
Entry Conditions:
1. Clear trading range identified (after uptrend)
2. Price breaks ABOVE resistance
3. Often high volume spike
4. Price reverses QUICKLY
5. Closes BELOW resistance level
Entry: Next bar or on retest
Stop: Above UTAD high
Target: Bottom of range (minimum)
Example:
Resistance: $200
UTAD high: $205 (spike)
Close: $198
Entry: $197
Stop: $206
Target: $180 (range bottom)
Risk/Reward: 1:2
```
### Setup #3: SOS BREAKOUT
```
Entry Conditions:
1. Clear accumulation range
2. Spring already occurred (ideal)
3. Price breaks ABOVE resistance
4. HIGH volume on breakout
5. Wide spread up bar
Entry Option A: On breakout ($120)
Entry Option B: Wait for LPS pullback ($115)
Stop: Below range or LPS
Target: Range height projected up
Example:
Range: $100-$120 (20 points)
SOS breakout: $120
Entry A: $120
Stop: $115
Target 1: $140 (100%)
Target 2: $150 (150%)
```
---
## VSA SPECIFIC PATTERNS
### Pattern 1: No Demand (Weakness)
```
▲
■ Up bar
■ Low volume ◄── KEY
▲ Small body
Context: After uptrend
Meaning: Buyers exhausted
Action: Prepare to sell
```
### Pattern 2: No Supply (Strength)
```
▼
■ Down bar
■ Low volume ◄── KEY
▼ Small body
Context: After downtrend
Meaning: Sellers exhausted
Action: Prepare to buy
```
### Pattern 3: Stopping Volume
```
═ Very high volume
█ Narrow spread ◄── KEY
═ Price not moving
Context: At extremes
Meaning: Absorption
Action: Expect reversal
```
---
## COMMON MISTAKES (What NOT to Do)
### ❌ Mistake 1: Buying Prematurely
```
WRONG:
SC
▼
█ ← DON'T BUY HERE
CORRECT:
Spring
─────╨─────
▼
█ ← BUY HERE
▲
```
### ❌ Mistake 2: Ignoring Volume
```
WRONG: "It broke below support, must be spring"
─────╨───── High volume
█
This is a BREAKDOWN, not a spring!
CORRECT Spring:
─────╨───── LOW volume ✓
■ Quick reversal ✓
▲
```
### ❌ Mistake 3: Trading Against Trend
```
WRONG:
Markdown Phase E
╲
╲ ← Trying to buy here
╲
╲
CORRECT:
Wait for new accumulation to complete
```
---
## MULTI-TIMEFRAME EXAMPLE
### Weekly Chart: Phase E Markup (Bullish)
```
╱
╱
╱ Long-term uptrend
╱
───╱─────
```
### Daily Chart: Re-Accumulation Phase C
```
┌─────────┐
│ Spring │ ← We are here
│ ▼ │
─────┴────█────┴─────
▲
```
### 4-Hour Chart: Entry Timing
```
Last 48 hours:
─────╨───── Spring occurred
█
▲ ← Enter now
■
```
**Result:** Triple confirmation across timeframes = High probability trade
---
## PROFIT TARGETS (Visual Guide)
### Method 1: Basic Measured Move
```
Resistance: 120 ┐ ─────────
│
│ 20 points
│
Support: 100 ┘ ─────────
Breakout: 120
Target: 120 + 20 = 140
╱╱╱ 140 (Target)
╱╱╱
╱╱╱
──────◄ 120 (Breakout)
│
Range │ 20
│
──────┘ 100
```
### Method 2: Multiple Targets
```
╱╱╱ 150 (Target 3: 2.5x) - 20% position
╱╱╱
╱╱╱ 140 (Target 2: 2x) - 30% position
╱╱╱
─────◄╱ 130 (Target 1: 1x) - 50% position
│
10 │ 120 (Breakout)
│
─────┘ 110 (Support)
```
### Method 3: Trailing Stop
```
1. Move stop to breakeven at Target 1
2. Trail stop under swing lows
3. Let winners run
╱╱╱
╱ ╱╱ ← Trail stop here
╱╱ ╱
╱ ╱ ← Then here
─────◄──╱
← Start here (breakeven)
```
---
## TIMING ENTRIES (Exact Bar Patterns)
### Perfect Spring Entry
```
Bar 1: ▼ Breaks below (Low vol)
█
Bar 2: ▲ Reverses (Closes strong)
█ ◄─ ENTER HERE
Bar 3: ■ Confirms
▲
DON'T WAIT for Bar 3!
Enter on Bar 2 close
```
### Perfect UTAD Entry
```
Bar 1: ▲ Breaks above (Spike vol OK)
█
Bar 2: ▼ Reverses (Closes weak)
█ ◄─ ENTER HERE
Bar 3: ■ Confirms
▼
SHORT on Bar 2 close
Don't wait for more confirmation
```
---
## COMPOSITE OPERATOR PSYCHOLOGY
### What Smart Money Does (Follow Them)
**Accumulation:**
```
1. Create fear (PS, SC)
2. Shake out weak hands (Spring)
3. Absorb supply quietly (Phase B)
4. Test for remaining supply (Test)
5. Mark it up (SOS → Phase E)
💰 They buy LOW when retail panics
```
**Distribution:**
```
1. Create euphoria (PSY, BC)
2. Trap late buyers (UTAD)
3. Distribute to buyers (Phase B)
4. Test for remaining demand (ST)
5. Mark it down (SOW → Phase E)
💰 They sell HIGH when retail buys
```
### Where to Look for Smart Money
```
💰 Buy signals appear at:
- Demand zones (green boxes)
- Springs and shakeouts
- Tests of support
- After selling climax
💰 Sell signals appear at:
- Supply zones (red boxes)
- UTAD and upthrusts
- Weak rallies (LPSY)
- After buying climax
```
---
## PRACTICE EXERCISES
### Exercise 1: Identify the Phase
Look at any chart and ask:
1. Is there a trading range? (Phase B likely)
2. Did we just stop a trend? (Phase A)
3. Was there a spring/UTAD? (Phase C)
4. Is there a breakout? (Phase D)
5. Is trend running? (Phase E)
### Exercise 2: Volume Analysis
For each bar, note:
- Volume level (High/Normal/Low)
- Spread (Wide/Normal/Narrow)
- Effort vs Result (Matching? Diverging?)
### Exercise 3: Find Historical Springs
Go back 6 months:
- Mark all springs you can find
- Note the setup before each
- Track what happened after
- Calculate win rate
---
## FINAL VISUALIZATION: The Complete Cycle
```
ACCUMULATION → MARKUP → DISTRIBUTION → MARKDOWN → ACCUMULATION...
Distribution Accumulation
(Top) (Bottom)
┌───────────────┐ ┌───────────────┐
│ BC UTAD │ │ Spring SC │
│ │ │ │ │ │ │ │
────┴───┴───┴───────┴─╲ ╱────────┴───┴───┴────
╲ ╱
Markdown ╲ ╱ Markup
(Phase E) ╲ ╱ (Phase E)
╲ ╱
╲ ╱
╲ ╱
╲ ╱
V
The market cycles endlessly
Your job: Identify where you are in the cycle
Trade accordingly
```
---
**Remember:**
- 📊 Study charts daily
- 📝 Journal every setup
- 🎯 Wait for the best signals
- 💰 Follow smart money
- ⏰ Be patient
- 🚀 Let winners run
**The indicator does the heavy lifting - you make the decisions!**
