Comprehensive Chart AnalysisThis indicator provides a comprehensive overview of the current market situation by analyzing various technical indicators and patterns. It aims to help traders identify potential trading opportunities by presenting key insights in an organized table.
Features:
Trend Analysis: Identifies the short-term, medium-term, and long-term trends based on closing prices.
Divergence Detection: Detects bullish and bearish divergences between price and RSI, MACD, and Stochastic Oscillator.
Support/Resistance Zones: Calculates and displays potential support and resistance zones based on swing highs/lows and ATR.
Demand/Supply Zones: Identifies potential demand and supply zones based on price action and volume.
Volume Analysis: Analyzes volume changes to identify potential breakouts or trend confirmations.
Candlestick Patterns: Detects bullish and bearish engulfing patterns.
Moving Averages: Includes analysis of 20, 50, and 200 period moving averages and crossovers.
Bollinger Bands: Detects breakouts from Bollinger Bands.
ADX: Calculates the Average Directional Index (ADX) to assess trend strength.
Table Display: Presents the analysis results in a clear and organized table, with customizable position.
Settings:
Analysis Periods (int): The number of bars to look back for analysis (default: 200).
ATR Multiplier (float): Multiplier for ATR used in calculating support/resistance zones (default: 1.5).
Demand Zone Length (int): The number of bars to consider for demand/supply zone calculations (default: 10).
Volume Threshold (float): The multiplier for average volume used to identify significant volume increases (default: 1.2).
Table Position (string): Allows you to choose the position of the table on the chart.
How it Works:
Identifying Trends: Show how the indicator identifies upward, downward, and neutral trends on different timeframes.
Spotting Divergences: Illustrate examples of bullish and bearish divergences detected by the script.
Support/Resistance Zones: Show how the indicator plots support and resistance zones and how price interacts with them.
Demand/Supply Zones: Provide examples of how the indicator identifies demand and supply zones.
Analyzing Volume: Demonstrate how the indicator analyzes volume in relation to price movements.
Detecting Candlestick Patterns: Show examples of how the script identifies bullish and bearish engulfing patterns.
Moving Average Analysis: Illustrate how the indicator uses moving averages to identify potential trend changes.
Bollinger Band Breakouts: Show examples of how the script detects breakouts from Bollinger Bands.
ADX Interpretation: Explain how to interpret the ADX values provided by the indicator.
Important Notes:
This indicator is intended for informational and educational purposes only. It should not be considered financial advice.
The effectiveness of the signals provided by this indicator may vary depending on market conditions and other factors.
Always conduct your own research and use proper risk management techniques before making any trading decisions.
Backtest this indicator on historical data to evaluate its performance before using it for live trading.
Volume
Trading TimesThis script is based on the 9 and 20 EMA Strategy and combines Fibonacci Levels for added confluence.
When the price retests after breaking the EMAs, we take the trade in the same direction. That is on breakup, we take a long and on a breakdown we take a short.
VWAP can be enabled from settings for more data. institutions use it to average out their trades for both buy and sell orders.
Custom Anchored Vwaps with Date/Time3 Custom Anchored Vwaps With time and dates gives the user flexibility to set their own custom Anchored Vwaps
Dominant Smoothed Volume Pro Smoothed Volume Pro provides a useful tool designed to provide traders with a deeper understanding of market dynamics by analyzing buy and sell volume across multiple timeframes. Unlike traditional volume indicators, this script normalizes volume data from lower timeframes to align with the current chart's timeframe, providing an apples-to-apples comparison. The result is a visual histogram representation of the dominant buy or sell activity, smoothed over 5 different periods to reflect momentum shifts and enhance clarity.
Core Methodology
1. Multi-Timeframe Volume Analysis
This indicator leverages data from five different lower timeframes, each chosen dynamically based on the current chart's timeframe. By aggregating and normalizing these granular data points, the indicator captures subtle shifts in buy and sell volume that might otherwise go unnoticed. This multi-timeframe approach allows for a more detailed and accurate representation of market activity.
2. Data Normalization
Normalization is a critical component of this indicator. It ensures that volume data from lower timeframes is scaled appropriately to match the total volume of the current chart's timeframe. This step eliminates discrepancies caused by varying time intervals, providing a more meaningful comparison of volume trends across different periods.
3. Smoothing for Momentum Representation
The indicator employs five customizable smoothing factors to smooth out noisy volume data.
Each smoothing factor is distinctly color-coded in the histogram and table for intuitive analysis, helping traders quickly identify prevailing trends.
Features and Benefits
➖Customizable Smoothing Factors: Choose from five different smoothing factors, each with its unique settings for line styles, colors, and extensions.
➖Normalized Buy and Sell Volume: Displays normalized buy and sell volumes as a percentage of total activity, aiding in quick decision-making.
➖Visual Cues: Color-coded columns and labels help identify dominant trends at a glance, with high-opacity fills for visual clarity.
➖Dynamic Table: A built-in table summarizes smoothed volume data for each smoothing factor, offering a quick overview of bullish and bearish percentages.
➖Momentum Signals: Detect significant shifts in volume momentum with visually distinct alerts for high relative volumes, including special symbols like "⚡" and "🔥."
Practical Applications
➖Identifying Market Sentiment: Quickly determine whether the market is dominated by buyers or sellers at any given moment.
➖Spotting Reversals: Use momentum shifts in smoothed volume to anticipate potential trend reversals.
➖Enhancing Entry and Exit Points: Combine this indicator with other technical tools to refine entry and exit points in your trading strategy.
Why This Indicator Stands Out
Many existing volume indicators focus solely on raw or single-timeframe data, which can be misleading or incomplete. This indicator sets itself apart by:
Utilizing multi-timeframe data to provide a holistic view of market activity.
Applying robust normalization techniques to ensure data consistency.
Offering advanced smoothing options to emphasize actionable momentum signals.
This unique combination of features makes it an indispensable tool for traders seeking to enhance their market analysis and decision-making process.
As always, by combining the Smoothed Volume Pro with other tools, traders ensure that they are not relying on a single indicator. This layered approach can reduce the likelihood of false signals and improve overall trading accuracy.
Here's an additional visual representation using the plot fills:
9:30 AM 1-Min OrbThis indicator maps out the 1-Min orb automatically at market open on any product. this can be used for the 1-Min opening range breakout
DJAM MAVS PLUS+ Entries + ExitsDJAM-MAVS PLUS+
A Versatile Moving Averages & Signals Indicator
The DJAM-MAVS PLUS+ is an all-in-one technical indicator designed for traders who value precision and clarity in analyzing market trends. Built for traders of all experience levels, this tool combines the power of multiple moving averages and exponential moving averages (MA & EMA) with visual signals to highlight critical market trends and crossovers.
Key Features:
Customizable Moving Averages & EMAs: Includes adjustable lengths for:
2-Day MA & EMA
13-Day MA
50-Day MA
60-Day MA
8-Day EMA
39-Day EMA
100-Day MA
200-Day MA
Visual Crossovers: Highlights bullish and bearish crossover conditions between key MAs and EMAs with green and red vertical background bars for easy trend identification.
Anchor Period: Customize the anchor period to align with different timeframes like Sessions, Weeks, Months, or even Years, enhancing its flexibility for various trading styles.
Stochastic Bands Multiplier: Adjust the bands with a customizable multiplier for a more granular analysis of market volatility.
Optimized for Overlay Use: Plots directly on your chart, providing an uncluttered yet highly informative view of the market.
Why Choose DJAM-MAVS PLUS+?
This indicator empowers you to:
Identify potential trend reversals with ease.
Monitor short-term and long-term trends simultaneously.
Gain a clearer visual representation of key market signals through colored crossovers.
Tailor the settings to fit your unique trading strategy.
Who is it for?
Swing traders seeking reliable trend-following signals.
Day traders who need clarity on short-term momentum shifts.
Long-term investors looking to confirm major trend changes.
How to Use:
Customize Inputs: Tailor the moving average and EMA lengths to match your strategy.
Monitor Crossovers: Watch for green and red background bars to signal potential bullish or bearish momentum shifts.
Adapt Anchor Periods: Use the indicator across various timeframes, from daily to yearly, for enhanced market insights.
Join the Community
The DJAM-MAVS PLUS+ is more than just an indicator; it's your edge in the market. Share your feedback, strategies, and experiences with the TradingView community to help refine and optimize this tool for all traders.
Visit my Website @ CryptoJamz.com or Follow Me on StockTwits.com @ StockTwits.com
X.Y Format Candle Volume This allows you to view candle volume relative to previous candles.
By default it uses a 500 candle lookback and excludes the most highest and lowest 50.
This gives a value similar to a mean. You can adjust these settings.
100% of mean = 1.0
50% of mean = 0.5
550% of mean = 5.5
10X of mean = arrow up or down.
mr.crypto731Description:
📊 Enhanced MACD with Strong Buy/Sell Signals 🚀
This script is designed to enhance the standard MACD indicator by adding clear, strong buy and sell signals. It includes:
MACD Line: A fast-moving average that reacts quickly to price changes.
Signal Line: A slower-moving average that smooths out price fluctuations.
MACD Histogram: The difference between the MACD Line and Signal Line, helping to identify trend strength and direction.
Key Features:
Strong Buy/Sell Signals: Uses crossovers of the MACD Line and Signal Line to generate strong buy/sell signals.
Color-Coded Background: Provides visual cues with background colors to highlight strong signals.
User-Friendly Interface: Customizable settings for MACD Fast Length, Slow Length, and Signal Smoothing.
Candle VolumeThis indicator gives gives candle volume represented in X.Y format for simplicity.
100% = 1.0
20% = 0.2
Anything 10X is represented by an arrow up or down based on candle price delta open to close.
By default, a 500 candle lookback of volume is used excluding exteem outliers of 50.
You can adjust these in settings.
Candle VolumeThis indicator gives gives candle volume represented in X.Y format for simplicity.
100% = 1.0
20% = 0.2
Anything 10X is represented by an arrow up or down based on candle price delta open to close.
By default, a 500 candle lookback of volume is used excluding exteem outliers of 50.
You can adjust these in settings.
Bearish EMA + MFI OS | SoV DCA v1.1A systematic savings tool designed for long-term wealth building through strategic asset accumulation. This indicator helps investors maintain disciplined buying during market downtrends, turning bearish periods into opportunities for methodical saving.
Strategy Components:
- Uses Death Cross (short EMA crossing below long EMA) to identify significant downtrends
- Confirms buying opportunities with oversold MFI conditions to improve entry prices
- Implements time-based DCA to maintain consistent investment discipline
- Tracks investment progress with detailed performance metrics
Perfect for:
- Long-term savers focused on wealth preservation
- Investors building positions in Store of Value assets
- Those seeking to automate their savings strategy
- Converting regular income into hard assets systematically
Features:
- Customizable investment amounts and intervals
- Detailed investment tracking and performance analysis
- Break-even calculations and position monitoring
- Flexible asset selection for various Store of Value instruments
Best used on weekly or daily timeframes for strategic long-term accumulation. This tool emphasizes steady wealth building over short-term trading, helping investors stay committed to their savings goals regardless of market conditions.
Note: Designed for disciplined saving through systematic buying, not for timing profits or short-term trading.
Impact Strategy 975%English/Russian Instruction
Instructions for Setting Up and Using the Strategy
Step 1: Set Initial Parameters
1. Initial Capital: Set the value to $10,000. This will serve as the starting balance for the strategy.
2. Order Size: Specify the order size as $50,000.
3. Margin for Long Positions: Set to 20%.
4. Margin for Short Positions: Set to 100%.
Step 2: Configure Strategy Parameters
1. Take-Profit Type: Choose one of the available options:
• “Fixed.”
• “Dynamic.”
2. Fixed Take-Profit: Set the value to 2.2%.
3. Dynamic Loss Threshold: Set the value to 2.5%.
Step 3: Run the Strategy
1. Click “OK” in the strategy settings.
2. The strategy will begin testing on the selected time interval and data.
Step 4: Review Results
1. Go to the Strategy Tester section.
2. Review the results:
• Net profit.
• Maximum drawdown.
• Total number of trades.
3. Adjust the parameters if necessary to improve performance.
Step 5: Risk Management
1. Ensure that the order size and margin levels match your risk tolerance.
2. Configure take-profit and stop-loss parameters based on your trading goals.
____________
Инструкция по настройке и использованию стратегии
Шаг 1. Установите начальные параметры
1. Исходный капитал: Установите значение $10,000. Это будет стартовый баланс для стратегии.
2. Объем заявки: Укажите объем $50,000.
3. Маржа для длинных позиций: Установите значение 20%.
4. Маржа для коротких позиций: Установите значение 100%.
Шаг 2. Настройте параметры стратегии
1. Тип тейк-профита: Выберите один из доступных вариантов:
• “Fixed” (Фиксированный).
• “Dynamic” (Динамический).
2. Фиксированный тейк-профит: Установите значение 2.2%.
3. Порог динамического убытка: Установите значение 2.5%.
Шаг 3. Запустите стратегию
1. Нажмите “ОК” в настройках стратегии.
2. Стратегия начнет выполнять тестирование на выбранном временном интервале и данных.
Шаг 4. Проверьте результаты
1. Перейдите в раздел Тестер стратегии.
2. Ознакомьтесь с результатами:
• Чистая прибыль.
• Максимальная просадка.
• Общее количество сделок.
3. При необходимости измените параметры для улучшения результатов.
Шаг 5. Управление рисками
1. Убедитесь, что объем заявки и уровни маржи соответствуют вашему уровню риска.
2. Настройте параметры тейк-профита и стоп-лосса в зависимости от ваших торговых целей.
Hacim RenklendirmeHacim detayına göre alış hacimleri ve satış hacimleri renklendirilmiştir.
Tarama eklenmiştir.
Volume Multiplier Index (VMI)Этот индикатор масштабирует объемы и позволяет анализировать их через две линии, основанные на различных подходах (экспонента и логарифм), с визуализацией ключевых уровней (перекупленности, перепроданности и средней зоны).
1. Описание настроек
Линия 1: "Exponent Line"
Show Exponent Line: Включает/выключает отображение линии экспоненты.
Period for Exponent: Период для расчета скользящих максимумов и минимумов объема.
Use Exponent Multiplier: Включает/выключает применение множителя.
Exponent Multiplier: Значение степени, в которую возводится объем.
Линия 2: "Logarithm Line"
Show Logarithm Line: Включает/выключает отображение логарифмической линии.
Period for Logarithm: Период для расчета скользящих максимумов и минимумов объема.
Use Logarithm Multiplier: Включает/выключает применение логарифмического множителя.
Общие элементы
Уровни:
80: Верхняя граница, обозначающая зону перекупленности.
50: Средний уровень, зона баланса объема.
20: Нижняя граница, зона перепроданности.
Заливка фона: Показывает диапазон между уровнями 20 и 80 для наглядности.
2. Интерпретация линий
Линия 1 (Exponent):
Линия усиливает влияние крупных объемов. Используется для определения аномально высоких объемов, что может указывать на сильные движения рынка (тренд или разворот).
Пример:
Если линия резко поднимается выше уровня 80 — это сигнал о значительном увеличении объема, возможно, начало сильного тренда.
Линия вблизи 20 — снижение активности, возможна консолидация или боковое движение.
Линия 2 (Logarithm):
Линия сглаживает влияние крупных объемов, делая акцент на стабильных изменениях. Подходит для анализа общего тренда или средней рыночной активности.
Пример:
Линия выше 80 — указывает на устойчивую активность вблизи перекупленности.
Линия ниже 20 — активность снижается, сигнализируя о возможной перепроданности.
3. Как применять индикатор
Анализ зон объемов:
Используйте верхний уровень (80) для выявления зон перекупленности.
Используйте нижний уровень (20) для поиска зон перепроданности.
Средний уровень (50) помогает оценивать нормальное состояние рынка.
Совмещение линий:
Если обе линии поднимаются выше 80, это подтверждение высокой активности рынка.
Если обе линии находятся ниже 20, это подтверждение низкой активности (возможна консолидация).
Фильтрация сигналов:
Используйте линию экспоненты для поиска резких скачков объема.
Линия логарифма помогает сгладить шум и дает подтверждение для более устойчивых трендов.
Комбинация с другими индикаторами:
Индикатор эффективен в сочетании с трендовыми (например, MACD, RSI) для подтверждения сигналов.
Например, перекупленность по объему может совпадать с дивергенцией на RSI.
4. Примеры сценариев использования
Сценарий 1: Идентификация тренда
Если линия экспоненты пересекает уровень 80, а линия логарифма также приближается к этому уровню, это может быть сигналом продолжения сильного тренда.
Сценарий 2: Разворот рынка
Когда линии опускаются ниже уровня 20, а затем обе начинают подниматься вверх — возможно начало нового тренда.
Сценарий 3: Консолидация
Если линии движутся около уровня 50 и не показывают сильных отклонений, рынок, скорее всего, находится в фазе консолидации.
5. Рекомендации по интерпретации
Не использовать индикатор в одиночку — он предназначен для фильтрации сигналов.
Для анализа лучше всего подходят периоды повышенной волатильности.
Настройки периода и множителя можно подстраивать под актив, с которым вы работаете. Для более волатильных инструментов лучше увеличить период.
Этот индикатор идеально подходит для анализа активности рынка, фильтрации шумов и подтверждения сигналов в стратегиях трендового или контртрендового характера.
Buyside & Sellside Liquidity and FOMO & PANİK]We Added Advanced Features to LuxAlgo’s Buy-Side and Sell-Side Liquidity Indicator
Buy-Side and Sell-Side Liquidity (Liquidity Hunt) indicators are an important tool for understanding market maker manipulations and analyzing price movements in high-volume areas. This indicator from LuxAlgo allows users to better evaluate the market’s liquidity flow. However, we have made some strategic improvements and additions to further enhance the functionality of this powerful tool.
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Features We Added to the Indicator
1. Liquidity Threshold and Analysis by Time Frames
The user can analyze liquidity movements in different time frames by determining short, medium and long-term periods.
Thanks to the Liquidity Threshold (%) parameter, long (buy) and short (sell) levels are determined according to price change rates.
Volume threshold controls are applied for each period and only high volume movements are taken into account.
2. Detection of Long and Short Liquidity Zones
Buy-Side (Long) Liquidity Zones: Long entry levels below the price are determined and reaction signals are created when the price reaches this level.
Sell-Side (Short) Liquidity Zones: Short entry levels above the price are determined and the levels are visualized on the chart.
These zones are used to detect market maker manipulations in places where liquidity traps may occur.
3. Coloring of High Volume Candles
With volume analysis, high volume candles are marked with different colors to observe the dynamics of price movements more clearly.
For example, candles exceeding volume threshold levels are highlighted with distinct colors such as white, yellow or blue.
4. Analysis of Wick and Volume-Based Long/Short Traps
Long trap and short trap traps are detected based on the length ratios of candle shadows (wick), ATR (Average True Range) and volume change.
These traps are clearly marked on the chart and supported by market psychology signals such as FOMO (fear of missing out) and Panic to the user.
5. Proximity to Liquidity Zones and Alarm Systems
We have added an algorithm that measures how close the price is to the specified liquidity zones. In this way:
Price movements that are less than 2% away from the upper liquidity zone are analyzed.
The same methodology is used for proximity to the middle liquidity zone and lower liquidity zone.
The user is warned when a long trap or short trap occurs with the alarm system.
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FOMO and Panic Algorithm
These updates include additional parameters to analyze investor psychology:
FOMO (Fear of Missing Out):
A FOMO signal is generated when the RSI level is high, the price is near the upper or middle liquidity zones, and sudden price/volume increases are seen.
This signal allows the investor to avoid making unconscious purchases.
Panic:
A panic signal is triggered when the RSI level is low, the price is near the lower or middle liquidity zones, and sudden decreases are seen.
This is designed to prevent investors from selling hastily.
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Benefits of the Developments
1. Prevention of Manipulations:
Price movements are analyzed according to liquidity zones, aiming to protect investors against market maker manipulations.
2. Stronger Strategy with Reaction Levels:
Visualization of long and short liquidity zones provides more reliable signals in trading strategies.
3. Understanding Psychological Barriers:
The impact of investor behavior on the market is better analyzed with FOMO and Panic signals.
4. Advanced Filtering Based on Volume and Volatility:
Volume and volatility analysis minimizes false signals.
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Conclusion
With these updates, LuxAlgo’s original Buy-Side & Sell-Side Liquidity indicator has been made a more powerful tool. Users can make more informed trades by identifying important levels that market makers may target. Combining multiple variables such as volume, liquidity, RSI and psychological barriers, this system provides a more robust analysis, especially in the cryptocurrency market.
Volume Delta Filtered v1.1 by RamtraderbookIndicator Explanation: Volume Delta_RTB (Filtered)
General Description
The Volume Delta_RTB (Filtered) indicator is designed to analyze the volume delta of a financial asset and highlight only significant changes based on a configured threshold. This indicator is useful for detecting moments when buying volume exceeds selling volume (or vice versa), providing a clear view of market pressure.
What is Volume Delta?
Volume delta measures the difference between buying and selling volume over a given time period. A positive delta indicates that buying prevails over selling, while a negative delta indicates the opposite.
Indicator Inputs
The indicator has several customizable parameters to suit the user’s needs:
1. Volume Delta Threshold
- Allows you to set a minimum volume delta value.
- Only indicator values that exceed this absolute delta threshold will be displayed.
- Default value: 100,000.
2. Use of a Lower Time Frame
- Option to analyze data from a lower time frame than the main chart.
Operating Logic
1. Selection of the Lower Time Frame
- The indicator scans data from a lower time frame to accurately calculate the volume delta.
- By default, it automatically selects an appropriate lower time frame, though it can be set manually.
2. Calculation of Volume Delta
- Using the `ta.requestVolumeDelta` function, the indicator calculates:
- Volume delta at the start of the period (`openVolume`).
- Maximum delta (`maxVolume`).
- Minimum delta (`minVolume`).
- Last recorded delta (`lastVolume`).
3. Filtering Values
- If the absolute value of `lastVolume` (the last volume delta) is below the configured threshold (`deltaThreshold`), the data will not be displayed on the chart.
- This allows the indicator to highlight only significant movements, avoiding unnecessary noise.
4. Visualization
- Volume delta is represented by candles to facilitate interpretation:
- Yellow candles for positive delta (buying prevails).
- Pink candles for negative delta (selling prevails).
- A horizontal line at `0` serves as a reference.
- Colors can be configured as needed.
5. Data Validation
- If the data provider does not provide volume information for the asset, the indicator will display an error message.
Indicator Advantages
- Efficient Filtering: Focus on the most relevant movements in terms of volume, ignoring small or insignificant values.
- Adaptable: Offers customization options for both the delta threshold and the time frame.
- Clear Visualization: Colored candles make it easier to spot dominant buying or selling trends.
NOTE:
- Estimated Delta Data: Since TradingView does not have access to market depth data or an exact breakdown of buying and selling volume, the delta calculations are approximations based on price and volume behavior.
- Data Provider Dependency: Some assets or instruments may not have volume information available, limiting the indicator’s use.
FTD & DD AnalyzerFTD & DD Analyzer
A comprehensive tool for identifying Follow-Through Days (FTDs) and Distribution Days (DDs) to analyze market conditions and potential trend changes, based on William J. O'Neil's proven methodology.
About the Methodology
This indicator implements the market analysis techniques developed by William J. O'Neil, founder of Investor's Business Daily and author of "How to Make Money in Stocks." O'Neil's research, spanning market data back to the 1880s, has successfully identified major market turns throughout history. His FTD and DD concepts remain crucial tools for institutional investors and serious traders.
Overview
This indicator helps traders identify two critical market conditions:
Distribution Days (DDs) - days of institutional selling pressure
Follow-Through Days (FTDs) - confirmation of potential market bottoms and new uptrends
The combination of these signals provides valuable insight into market health and potential trend changes.
Key Features
Distribution Day detection with customizable criteria
Follow-Through Day identification based on classical methodology
Market bottom detection using EMA analysis
Dynamic warning system for accumulated Distribution Days
Visual alerts with customizable labels
Advanced debug mode for detailed analysis
Flexible display options for different trading styles
Distribution Days Analysis
What is a Distribution Day?
A Distribution Day occurs when:
The price closes lower by a specified percentage (default -0.2%)
Volume is higher than the previous day
DD Settings
Price Threshold: Minimum price decline to qualify (default -0.2%)
Lookback Period: Number of days to analyze for DD accumulation (default 25)
Warning Levels:
First warning at 4 DDs
Severe warning (SOS - Sign of Strength) at 6 DDs
Display Options:
Show/hide DD count
Show/hide DD labels
Choose between showing all DDs or only within lookback period
Follow-Through Day Detection
What is a Follow-Through Day?
Following O'Neil's research, a Follow-Through Day confirms a potential market bottom when:
Occurs between day 4 and 13 after a bottom formation (optimal: days 4-7)
Shows significant price gain (default 1.5%)
Accompanied by higher volume than the previous day
Key Statistics:
FTDs followed by distribution on days 1-2 fail 95% of the time
Distribution on day 3 leads to 70% failure rate
Later distribution (days 4-5) shows only 30% failure rate
FTD Settings
Minimum Price Gain: Required percentage gain (default 1.5%)
Valid Window: Day 4 to Day 13 after bottom
Quality Rating:
🚀 for FTDs occurring within 7 days (historically most reliable)
⭐ for later FTDs
Market Bottom Detection
The indicator uses a sophisticated approach to identify potential market bottoms:
EMA Analysis:
Tracks 8 and 21-period EMAs
Monitors EMA alignment and momentum
Customizable tolerance levels
Price Action:
Looks for lower lows within specified lookback period
Confirms bottom with subsequent price action
Reset mechanism to prevent false signals
Visual Indicators
Label Types
📉 Distribution Days
⬇️ Market Bottoms
🚀/⭐ Follow-Through Days
⚠️ DD Warning Levels
Customization Options
Label size: Tiny, Small, Normal, Large
Label style: Default, Arrows, Triangles
Background colors for different signals
Dynamic positioning using ATR multiplier
Practical Usage
1. Monitor DD Accumulation:
Watch for increasing number of Distribution Days
Pay attention to warning levels (4 and 6 DDs)
Consider reducing exposure when warnings appear
2. Bottom Recognition:
Look for potential bottom formations
Monitor EMA alignment and price action
Wait for confirmation signals
3. FTD Confirmation:
Track days after potential bottom
Watch for strong price/volume action in valid window
Note FTD quality rating for additional context
Alert System
Built-in alerts for:
New Distribution Days
Follow-Through Day signals
High DD accumulation warnings
Tips for Best Results
Use multiple timeframes for confirmation
Combine with other market health indicators
Pay attention to sector rotation and market leadership
Monitor volume patterns for confirmation
Consider market context and external factors
Technical Notes
The indicator uses advanced array handling for DD tracking
Dynamic calculations ensure accurate signal generation
Debug mode available for detailed analysis
Optimized for real-time and historical analysis
Additional Information
Compatible with all markets and timeframes
Best suited for daily charts
Regular updates and maintenance
Based on O'Neil's time-tested market analysis principles
Conclusion
The FTD & DD Analyzer provides a systematic approach to market analysis, combining O'Neil's proven methodologies with modern technical analysis. It helps traders identify potential market turns while monitoring institutional participation through volume analysis.
Remember that no indicator is perfect - always use in conjunction with other analysis tools and proper risk management.
Scalping long-shortThe Scalping long-short indicator is a comprehensive system for analyzing candle patterns and trading volume, designed for use in a scalping strategy. The main purpose of the indicator is to identify the key points of changing market sentiment and provide the trader with accurate signals for entering a trade.
The main components of the indicator:
1. Candle Pattern Analysis:
The indicator analyzes four main candle patterns:
-A Bullish Hammer is a candle with a small body and a long lower tail, which indicates the possible completion of a downward movement and the beginning of an uptrend.
-Bearish Hanging Man is a candle similar to a bullish hammer, but it appears after an upward movement, signaling the possible beginning of a downtrend.
-Bullish Engulfing is a candle with a large body that completely covers the body of the previous candle, showing strong buyer interest.
-Bearish Engulfing is the reverse situation, when a large bearish candle absorbs the previous bullish candle, indicating the predominance of sellers.
-Doji is a candle with almost identical opening and closing prices, indicating market indecision.
For each of these patterns, the indicator sets certain threshold values that the user can adjust to their preferences and features of the trading instrument.
2. Volume analysis:
The volume is an important confirmation of the strength of the signal. The indicator compares the current volume with the average value for the user-selected period (length parameter) multiplied by the volumeMultiplier coefficient. If the current volume exceeds this indicator, the signal is considered confirmed.
3. Visual indication:
Graphical elements corresponding to each type of signal are displayed on the price chart.:
-The green triangle down is a buy signal (bullish hammer or bullish takeover).
-The red triangle up is a sell signal (bearish hanging or bearish engulfing).
-The yellow diamond is a neutral state (doji).
These visual cues help you quickly assess the current market situation without having to analyze each candle manually in depth.
4. Alerts:
The indicator supports setting alerts that can be sent via the TradingView platform or other supporting systems. This allows the trader to receive notifications about the occurrence of new signals even outside the workplace.
Settings:
The user can change the following settings:
-Length is the period for calculating the average volume.
-Multiplier is a multiplier for the thresholds of candle patterns.
-HammerThreshold, HangingManThreshold, EngulfingThreshold, DojiThreshold are Thresholds for recognizing specific candlestick patterns.
-VolumeMultiplier is a coefficient for comparing the current volume with the average value.
These parameters allow you to adapt the indicator to various trading instruments and time intervals, making it a universal tool for a wide range of traders.
Conclusion:
The Scalping long-short indicator combines powerful analytical tools to identify key points in the market, providing the trader with clear and timely signals for making trading decisions. Its flexibility and fine-tuning capability make it useful for both beginners and experienced market participants.
VPSA-VTDDear Sir/Madam,
I am pleased to present the next iteration of my indicator concept, which, in my opinion, serves as a highly useful tool for analyzing markets using the Volume Spread Analysis (VSA) method or the Wyckoff methodology.
The VPSA (Volume-Price Spread Analysis), the latest version in the family of scripts I’ve developed, appears to perform its task effectively. The combination of visualizing normalized data alongside their significance, achieved through the application of Z-Score standardization, proved to be a sound solution. Therefore, I decided to take it a step further and expand my project with a complementary approach to the existing one.
Theory
At the outset, I want to acknowledge that I’m aware of the existence of other probabilistic models used in financial markets, which may describe these phenomena more accurately. However, in line with Occam's Razor, I aimed to maintain simplicity in the analysis and interpretation of the concepts below. For this reason, I focused on describing the data using the Gaussian distribution.
The data I read from the chart — primarily the closing price, the high-low price difference (spread), and volume — exhibit cyclical patterns. These cycles are described by Wyckoff's methodology, while VSA complements and presents them from a different perspective. I will refrain from explaining these methods in depth due to their complexity and broad scope. What matters is that within these cycles, various events occur, described by candles or bars in distinct ways, characterized by different spreads and volumes. When observing the chart, I notice periods of lower volatility, often accompanied by lower volumes, as well as periods of high volatility and significant volumes. It’s important to find harmony within this apparent chaos. I think that chart interpretation cannot happen without considering the broader context, but the more variables I include in the analytical process, the more challenges arise. For instance, how can I determine if something is large (wide) or small (narrow)? For elements like volume or spread, my script provides a partial answer to this question. Now, let’s get to the point.
Technical Overview
The first technique I applied is Min-Max Normalization. With its help, the script adjusts volume and spread values to a range between 0 and 1. This allows for a comparable bar chart, where a wide bar represents volume, and a narrow one represents spread. Without normalization, visually comparing values that differ by several orders of magnitude would be inconvenient. If the indicator shows that one bar has a unit spread value while another has half that value, it means the first bar is twice as large. The ratio is preserved.
The second technique I used is Z-Score Standardization. This concept is based on the normal distribution, characterized by variables such as the mean and standard deviation, which measures data dispersion around the mean. The Z-Score indicates how many standard deviations a given value deviates from the population mean. The higher the Z-Score, the more the examined object deviates from the mean. If an object has a Z-Score of 3, it falls within 0.1% of the population, making it a rare occurrence or even an anomaly. In the context of chart analysis, such strong deviations are events like climaxes, which often signal the end of a trend, though not always. In my script, I assigned specific colors to frequently occurring Z-Score values:
Below 1 – Blue
Above 1 – Green
Above 2 – Red
Above 3 – Fuchsia
These colors are applied to both spread and volume, allowing for quick visual interpretation of data.
Volume Trend Detector (VTD)
The above forms the foundation of VPSA. However, I have extended the script with a Volume Trend Detector (VTD). The idea is that when I consider market structure - by market structure, I mean the overall chart, support and resistance levels, candles, and patterns typical of spread and volume analysis as well as Wyckoff patterns - I look for price ranges where there is a lack of supply, demand, or clues left behind by Smart Money or the market's enigmatic identity known as the Composite Man. This is essential because, as these clues and behaviors of market participants — expressed through the chart’s dynamics - reflect the actions, decisions, and emotions of all players. These behaviors can help interpret the bull-bear battle and estimate the probability of their next moves, which is one of the key factors for a trader relying on technical analysis to make a trade decision.
I enhanced the script with a Volume Trend Detector, which operates in two modes:
Step-by-Step Logic
The detector identifies expected volume dynamics. For instance, when looking for signs of a lack of bullish interest, I focus on setups with decreasing volatility and volume, particularly for bullish candles. These setups are referred to as No Demand patterns, according to Tom Williams' methodology.
Simple Moving Average (SMA)
The detector can also operate based on a simple moving average, helping to identify systematic trends in declining volume, indicating potential imbalances in market forces.
I’ve designed the program to allow the selection of candle types and volume characteristics to which the script will pay particular attention and notify me of specific market conditions.
Advantages and Disadvantages
Advantages:
Unified visualization of normalized spread and volume, saving time and improving efficiency.
The use of Z-Score as a consistent and repeatable relative mechanism for marking examined values.
The use of colors in visualization as a reference to Z-Score values.
The possibility to set up a continuous alert system that monitors the market in real time.
The use of EMA (Exponential Moving Average) as a moving average for Z-Score.
The goal of these features is to save my time, which is the only truly invaluable resource.
Disadvantages:
The assumption that the data follows a normal distribution, which may lead to inaccurate interpretations.
A fixed analysis period, which may not be perfectly suited to changing market conditions.
The use of EMA as a moving average for Z-Score, listed both as an advantage and a disadvantage depending on market context.
I have included comments within the code to explain the logic behind each part. For those who seek detailed mathematical formulas, I invite you to explore the code itself.
Defining Program Parameters:
Numerical Conditions:
VPSA Period for Analysis – The number of candles analyzed.
Normalized Spread Alert Threshold – The expected normalized spread value; defines how large or small the spread should be, with a range of 0-1.00.
Normalized Volume Alert Threshold – The expected normalized volume value; defines how large or small the volume should be, with a range of 0-1.00.
Spread Z-SCORE Alert Threshold – The Z-SCORE value for the spread; determines how much the spread deviates from the average, with a range of 0-4 (a higher value can be entered, but from a logical standpoint, exceeding 4 is unnecessary).
Volume Z-SCORE Alert Threshold – The Z-SCORE value for volume; determines how much the volume deviates from the average, with a range of 0-4 (the same logical note as above applies).
Logical Conditions:
Logical conditions describe whether the expected value should be less than or equal to or greater than or equal to the numerical condition.
All four parameters accept two possibilities and are analogous to the numerical conditions.
Volume Trend Detector:
Volume Trend Detector Period for Analysis – The analysis period, indicating the number of candles examined.
Method of Trend Determination – The method used to determine the trend. Possible values: Step by Step or SMA.
Trend Direction – The expected trend direction. Possible values: Upward or Downward.
Candle Type – The type of candle taken into account. Possible values: Bullish, Bearish, or Any.
The last available setting is the option to enable a joint alert for VPSA and VTD.
When enabled, VPSA will trigger on the last closed candle, regardless of the VTD analysis period.
Example Use Cases (Labels Visible in the Script Window Indicate Triggered Alerts):
The provided labels in the chart window mark where specific conditions were met and alerts were triggered.
Summary and Reflections
The program I present is a strong tool in the ongoing "game" with the Composite Man.
However, it requires familiarity and understanding of the underlying methodologies to fully utilize its potential.
Of course, like any technical analysis tool, it is not without flaws. There is no indicator that serves as a perfect Grail, accurately signaling Buy or Sell in every case.
I would like to thank those who have read through my thoughts to the end and are willing to take a closer look at my work by using this script.
If you encounter any errors or have suggestions for improvement, please feel free to contact me.
I wish you good health and accurately interpreted market structures, leading to successful trades!
CatTheTrader
