Harmonic Patterns ScannerHello Traders!
The Harmonic Patterns Scanner takes the time-consuming search for harmonic patterns completely off your hands. This indicator utilizes a unique swing-based pattern recognition to pinpoint 14 different bullish and bearish harmonic patterns in real-time with unparalleled precision.
The Harmonic Patterns Scanner is designed to operate in a fully automated manner, detecting harmonic patterns in real-time across the symbol and timeframe that you select. It grants you the ability to simultaneously scan for patterns across as many as 20 distinct symbols.
Pattern List (each pattern has a bullish and a bearish version)
Gartley
Bat
Butterfly
Crab
Cypher
Shark
5-0
Feature List
Automatic real-time pattern detection
7 different built-in breakout conditions
Breakout alerts
Customizable pattern size and accuracy
Customizable look and feel
The value of this indicator is to support traders to easily identify harmonic patterns. The trader saves a lot of time scanning the markets for harmonic patterns, since finding the pattern and alerting for a breakout is done automatically for the trader.
For a visualization of the detected patterns, you can add the TRN Harmonic Patterns Suite indicator to your chart.
How does TRN Harmonics Scanner work?
On the right side of the chart, you can find a table displaying the symbols monitored by our scanner for pattern and breakout detection. The table is divided into bullish and bearish patterns and provides information on the status of each symbol.
UP – Upside Breakout
DN – Downside Breakout
UP CONF – Upside Breakout confirmed
DN CONF – Downside Breakout confirmed
FAILED – Pattern failed to get confirmed
If a pattern is in the making or already got confirmed, the scanner displays the name of the harmonic pattern in the table.
The scanner operates specifically on the timeframe you have selected in TradingView, ensuring that the detected patterns and breakouts align precisely with your trading perspective. If the scanner displays a pattern or a breakout, you just can switch to this instrument and start trading it if you like what you see.
Follow these instructions to discover how you can utilize the scanner for seamless and simplified chart pattern detection like never before:
Add Symbols
Go to indicator settings and scroll down to the "Symbols" section. The enabled symbols can be recognized by the check marks. Click on one of them and use the search function to add the symbol of your choice to the scanner. You can search for up to 20 different symbols at the same time.
Use Alerts (Optional but Recommended)
You can also use the built-in alerts to easily get notified when a pattern occurs. In the indicator settings in the "Alerts" section you can choose whether you want to get notified when a pattern is
1. in the making (Pattern active),
2. confirms an up breakout (B/O Up Confirmed)
3. confirms a down breakout (B/O Down Confirmed)
4. (Unconfirmed) in case a pattern breakout occurs, even if the pattern is not yet confirmed
This allows you to stay informed about potential breakout opportunities.
Customization and settings
The indicator can scan for smaller and larger patterns. Adjust the harmonics size in the indicator settings to align them with your preferences. A larger size results in larger patterns. Depending on the asset class, the market or the market phase, different sizes can be used for pattern detection.
To detect more patterns, increase the tolerance level, even though it may result in lower accuracy. However, be mindful that a higher tolerance level may result in more patterns hitting their stop-loss.
Breakout Conditions
Identifying breakout conditions is paramount for successfully profiting on chart patterns. Trading tools equipped with diverse breakout conditions offer traders a comprehensive approach to deciphering market trends and making informed decisions.
This section delves into the set of breakout conditions built within the Harmonic Pattern Scanner, exploring their functionalities, applications, and the benefits they provide in the realm of chart pattern recognition.
TRN Bars Signal + Trend
The Harmonic Pattern Scanner includes also the TRN Bars algorithm. It is designed to spot bullish and bearish trends and reversals. The trend analysis is based on a new algorithm that weights several different inputs:
1. classical and advanced bar patterns and their statistical frequency
2. probability distributions of price expansions after certain bar patterns
3. bar information such as wick length in %, overlapping of the previous bar in % and many more
4. historical trend and consolidation analysis
If you use this breakout condition, the breakout is determined by the next signal (reversal, continuation, breakout) or trend change of the TRN bars after one of the harmonic patterns has been completed. These Breakout conditions give you the accurate trend recognition of the TRN Bars to find the perfect entry.
TRN Bars Signal
If a harmonic pattern gets completed and you use this breakout condition, the breakout will be determined by the next confirmed signal (reversal, continuation, breakout) of the TRN Bars. These Breakout Condition delivers signals with reenforced reliability, but they occur not as often as other breakout conditions.
RSI Crossing
With this breakout condition, a breakout for a long position gets determined, when the RSI line crosses above the RSI moving average (MA) after one of the harmonic patterns has been completed. A bearish breakout after a completed harmonic pattern gets determined, when the RSI line crosses below the RSI MA.
You can choose your preferred RSI and MA length in the indicator settings under the “Trade Management” section.
MACD Crossing
If a harmonic pattern gets completed and you use this breakout condition, the breakout gets determined, when the MACD line crosses above the signal line (bullish MACD crossover) for a bullish breakout. Conversely, when the MACD line crosses below the signal line (bearish MACD crossover), a bearish breakout gets determined after a harmonic pattern was completed.
You can choose your preferred MACD length in the indicator settings under the “Trade Management” section.
Swing Flip
Use this breakout condition, if you want a breakout to get determined when the next swing after point D gets detected by the build in swing detection algorithm of TRN Harmonics.
Close Below/Above Last 2 Lows/Highs
With this breakout condition, a breakout for a short position gets determined, if a close below the lows of the last 2 bars gets detected. For a long position, the breakout gets determined if a close above the highs of the last 2 bars gets detected.
Close Below/Above Last 3 Lows/Highs
In this scenario, a short position breakout is confirmed if the price closes below the lows of the previous 3 bars. Conversely, a long position breakout is confirmed if the price closes above the highs of the last 3 bars.
How To Setup Breakout Conditions
Go to indicator settings and choose one of our built-in breakout conditions under the section "Trade Management" of the menu item "Inputs", like for example TRN Bars Signal + Trend. A selection of 7 distinct breakout conditions is at your disposal.
Computation Details
The real-time detection of the harmonic patterns utilizes a unique swing-based pattern recognition. The difference to other swing-based computations is that the pivot points are identified without a look-ahead value. The result is a faster and better real-time detection. The tolerance level unites several internal parameters into one and results in a user-friendly setting.
Risk Disclaimer
The content, tools, scripts, articles, and educational resources offered by TRN Trading are intended solely for informational and educational purposes. Remember, past performance does not ensure future outcomes.
Search in scripts for "algo"
Harmonic Patterns SuiteHello Traders!
This indicator takes the time-consuming search for harmonic patterns completely off your hands. TRN Harmonics utilizes a unique swing-based pattern recognition to pinpoint 14 different harmonic patterns in real-time with unparalleled precision.
Pattern List (each pattern has a bullish and a bearish version)
Gartley
Bat
Butterfly
Crab
Cypher
Shark
5-0
Feature List
Real-time harmonic pattern detection
7 different built-in breakout conditions
Visualization of entry, stop-loss and take-profit levels
Pattern performance statistics
Calculation of risk-rewards ratio
Risk Management
Breakout alerts
Customizable pattern size and accuracy
Customizable look and feel
The value of this indicator is to support traders to easily identify harmonic patterns in an automated way. The special swing-based pattern recognition and the numerous built-in premium features make this indicator unique. The trader saves a lot of time scanning the markets for harmonic patterns, since everything is done automatically for the trader: Finding the pattern, looking and alerting for a breakout, computing the entry, stop loss and take profit levels as well as handling the risk management and computing the optimal order quantity.
How to Trade with the Harmonic Patterns Suite
Identify the Pattern
Add the Harmonic Patterns Suite to your chart and look for patterns on the asset and timeframe of your choice. The patterns are detected in real-time. If a pattern develops further in the next bars, then the indicator updates the pattern accordingly until a breakout is confirmed or the pattern becomes invalid.
You can also use the built-in alerts to easily get notified when a pattern occurs. In the indicator settings in the "Alerts" section you can choose whether you want to get notified when a pattern is
1. in the making (Pattern active),
2. confirms an up breakout (B/O Up Confirmed)
3. confirms a down breakout (B/O Down Confirmed)
4. (Unconfirmed) in case a pattern breakout occurs, even if the pattern is not yet confirmed
This allows you to stay informed about potential breakout opportunities that are still awaiting confirmation.
Check Pattern Statistics
The pattern statistics make it easy for you to see how successful a pattern is on the asset and timeframe you are watching. You should always check the statistics before entering a trade. The chart displays the statistics in the upper right corner. These statistics are categorized into two sections: "long" for patterns with an upward breakout and "short" for patterns with a downward breakout.
In the initial columns, labeled as "short" and "long", the identified breakouts are further divided based on the different harmonic patterns. The following columns represent the count of the events:
1. Occ. (Occurrence) categorized according to the values of R from the first column
2. TP1, TP2 (Take Profit) - targets 1 und 2
3. SL (Stop Loss)
4. T/O (Time Out) - neither stop loss or targets where hit in a certain amount of time
Breakout – Entry, Stop Loss and Targets
The indicator automatically displays the entry price line (EP) in grey at the point where the breakout got detected. Once a breakout has been confirmed, place a buy order near the EP level for a long position, or a sell order for a short position. Set your stop-loss at the price level of the red stop-loss line (SL) and set your take-profits at the price level of the green take-profit-lines (TP1, TP2).
Risk Management
The Harmonic Patterns Suite comes with a built-in risk management feature. Just go to the settings and scroll down to the section "Risk Management". Here you can enter your Account Size and the percentage you want to Risk when you enter a position after a pattern breakout.
In the "Trade Management" section, you have the option to define the minimum accepted risk-reward ratio for confirmed harmonic patterns. This means that breakouts of patterns failing to meet the minimum risk-reward ratio will not be considered as confirmed signals. If a breakout gets confirmed, the indicator automatically calculates the position size (Quantity). You can read the quantity from the gray entry point line (EP), which is located to the right of the risk-reward ratio (R). Note that your risk-reward ratio (R) is calculated based on TP1.
Customization and settings
The indicator can scan for smaller and larger patterns at the same time. Adjust the harmonics size in the indicator settings to align them with your preferences. A larger size results in larger consolidations. Depending on the asset class, the market or the market phase, different sizes can be used for pattern detection.
To detect more patterns, increase the tolerance level, even though it may result in lower accuracy. However, be mindful that a higher tolerance level may result in more patterns hitting their stop-loss. Look for a tolerance level that leads to favorable statistics and focus on trading patterns with a proven performance history.
Finally, you have the flexibility to customize various visual elements, such as the color of the pattern and whether to display values like price, target, or risk-reward ratio on your chart. You can also choose where these values appear.
Breakout Conditions
Identifying breakout conditions is paramount for successfully recognizing and capitalizing on chart patterns. Trading tools equipped with diverse breakout conditions offer traders a comprehensive approach to deciphering market trends and making informed decisions.
This section delves into the set of breakout conditions built within TRN Harmonics, exploring their functionalities, applications, and the benefits they provide in the realm of chart pattern recognition.
TRN Bars Signal + Trend
The Harmonics Pattern Suite includes also the TRN Bars algorithm. It is designed to spot bullish and bearish trends and reversals. The trend analysis is based on a new algorithm that weights several different inputs:
1. classical and advanced bar patterns and their statistical frequency
2. probability distributions of price expansions after certain bar patterns
3. bar information such as wick length in %, overlapping of the previous bar in % and many more
4. historical trend and consolidation analysis
If you use this breakout condition, the breakout is determined by the next signal (reversal, continuation, breakout) or trend change of the TRN bars after one of the harmonic patterns has been completed. These Breakout conditions give you the accurate trend recognition of the TRN Bars to find the perfect entry.
TRN Bars Signal
If a harmonic pattern gets completed and you use this breakout condition, the breakout will be determined by the next confirmed signal (reversal, continuation, breakout) of the TRN Bars. These Breakout Condition delivers signals with reenforced reliability, but they occur not as often as other breakout conditions.
RSI Crossing
With this breakout condition, a breakout for a long position gets determined, when the RSI line crosses above the RSI moving average (MA) after one of the harmonic patterns has been completed. A bearish breakout after a completed harmonic pattern gets determined, when the RSI line crosses below the RSI MA.
You can choose your preferred RSI and MA length in the indicator settings under the “Trade Management” section.
MACD Crossing
If a harmonic pattern gets completed and you use this breakout condition, the breakout gets determined, when the MACD line crosses above the signal line (bullish MACD crossover) for a bullish breakout. Conversely, when the MACD line crosses below the signal line (bearish MACD crossover), a bearish breakout gets determined after a harmonic pattern was completed.
You can choose your preferred MACD length in the indicator settings under the “Trade Management” section.
Swing Flip
Use this breakout condition, if you want a breakout to get determined when the next swing after point D gets detected by the build in swing detection algorithm of TRN Harmonics.
Close Below/Above Last 2 Lows/Highs
With this breakout condition, a breakout for a short position gets determined, if a close below the lows of the last 2 bars gets detected. For a long position, the breakout gets determined if a close above the highs of the last 2 bars gets detected.
Close Below/Above Last 3 Lows/Highs
In this scenario, a short position breakout is confirmed if the price closes below the lows of the previous 3 bars. Conversely, a long position breakout is confirmed if the price closes above the highs of the last 3 bars.
How To Setup Breakout Conditions
Go to indicator settings and choose one of our built-in breakout conditions under the section "Trade Management" of the menu item "Inputs", like for example TRN Bars Signal + Trend. A selection of 7 distinct breakout conditions is at your disposal.
If you use the default settings of the Harmonic Patterns Suite, TRN Bars Signal + Trend will be the breakout condition for the detected harmonic patterns.
Computation Details
The real-time detection of the harmonic patterns utilizes a unique swing-based pattern recognition. The difference to other swing-based computations is that the pivot points are identified without a look-ahead value. The result is a faster and better real-time detection. Furthermore, the detection of the ratios between the single swings is based on a dynamic volatility measurement similar to the ATR. The tolerance level unites several internal parameters into one and results in a user-friendly setting.
Risk Disclaimer
The content, tools, scripts, articles, and educational resources offered by TRN Trading are intended solely for informational and educational purposes. Remember, past performance does not ensure future outcomes.
NZTVolumeDESCRIPTION IN ENGLISH
🔶 INTRODUCTION
NZTVolume is an advanced indicator for TradingView , inspired by the mentor Almaz . It is intended to facilitate the analytical work of traders who actively use data on real trading volumes in their analysis. The indicator also has many features that simplify operation and provide great opportunities for analysis , including the key function - identification of effective and ineffective movements, which are described below.
🔶 CONTENT
This tool provides detailed visualization of real volume . Other features such as candlestick color change depending on volume, histogram display percentage change in volume , and display candles that have gained liquidity, but the most unique function is the determination of effective and ineffective movements, alerts for them are built into the indicator, and traders will have a unique opportunity by setting alerts to wait for the first effective movement (its meaning and description below) , all this is implemented through advanced computational algorithms applied in the code.
Key features include Real Volume Histogram, Dynamic Candle Color Change, Average Volume Table, Volume Percent Change, Liquidity taken Candle, Volume Moving Averages, Effective and ineffective movements with their lines, 3 types of customizable Volume Alerts.
🔶 LOGIC
🔹 Dynamic Candle Color Change (Изменять цвет свечей)
Candles change to a contrasting color if their volume exceeds that of the previous candle , differentiated into bullish and bearish , including settings for transparency and colors . Can be configured, enabled of or disabled.
🔹 Real Volume Histogram (Показывать гистограмму объемов)
Automatically retrieves data on volumes and shows it on a chart. Can be configured, enabled of or disabled.
🔹 Liquidity Taken Candle (Показывать свечу собравшую ликвидность)
A candle that has taken/captured liquidity , which is determined in the code by the high and low prices of the candle and the volume it has , is displayed on the histogram . Can be configured, enabled or disabled.
🔹 Percent Change Volume (Показывать гистограмму процентного изменения объема)
Calculates and displays volume percent changes on a histogram. Can be configured, enabled or disabled.
🔹 Effective and Ineffective movement/column (Показывать эффективные и неэффективные движения)
By calculating the average volatility of the last bars, as well as calculating the average volume of the last bars, comparing and contrasting them, we obtain the principle of effective and ineffective movement/column. The code includes alerts that allow you to notify the user when the first effective movement/candle appears, which can significantly improve trading and maintain concentration. Basically it's a specific column on histogram, but is called movement so that's it's easier to understand its logic.
🔹 Line of efficiency and inefficiency (Показывать линии эффективности и неэффективности)
These lines connect all effective and ineffective movements' highs on the histogram, allowing traders to practice, as well as build their trading strategy for the trading day.
🔹 Average Volume Table (Показывать таблицу со средним объемом)
Displays the average volume per bar for selected time intervals with the ability to customize the period . Can be configured, enabled or disabled.
🔹 Volume Moving Averages (Показывать среднюю скользящую объема)
Three lines corresponding to users' set time intervals show the change in volume with color and thickness settings. Can be configured, enabled or disabled.
🔹 Alerts (Во сколько раз объем свечи должен превышать предыдущую для алерта)
Alerts can be triggered by 3 conditions
1. if on the selected timeframe the volume of the current candle exceeds the volume of the previous candle by a user-specified number of times , an alert will be triggered.
2. if a liquidity candle appears on the selected timeframe , an alert is triggered.
3. if an effective column/movement appears on the selected timeframe, an alert is triggered.
It can be configured, enabled or disabled.
🔶 TECHNICAL SPECIFICATION AND UNIQUENESS
At the core of NZTVolume is a series of advanced algorithms that analyze volume data in real-time.
Some of them are:
Calculate average volumes by given time period (in hours).
Candles, that took liquidity - considers high volume and wicks' size.
Percent volume change histogram - calculate percent change of volume for every bar and shows it on graph.
Effective and ineffective movement - calculates by algorithm that considers average volume and average volatility, assuming that big market players will contribute the volume.
🔶 DEMONSTRATION OF HOW THE INDICATOR WORKS ON DIFFERENT ASSETS
NZTLevel + NZTVolume Together
🔶 SETTINGS
🔹 Candles (Свечи)
Enable/disable color changes of candles based on volume . Customize colors of contrasting and standard candles, adjust transparency.
🔹 Histogram Settings (Настройки Гистограммы)
Show volume histogram , show liquidity taken candle, show volume percent change histogram, show effective, ineffective movements, show efficiency/inefficiency line.
🔹 Display settings on the Histogram (Настройки отображения на Гистограмме)
Customizable colors for bullish, bearish, liquidity taken columns as well as for effective and ineffective movement/columns and for lines that connect them.
🔹 Table (Таблица)
Toggle the display of the average volume table, customize the background, and set time ranges (3 parameters, multi-timeframe support). Tables shows "average volume over 24/48/72 hours" in translation
🔹 Lines (Линии)
Option to display/hide average volume lines , select colors and thickness for each of the three lines.
🔹 Alerts (Алерты)
As was said before, there are 3 types of alerts , that can be turned off , there is a parameter can be chosen - How many times volume of the current candle should exceeds the volume of the previous candle to trigger alert
🔶 RECOMMENDATIONS FOR USE
It is recommended to set and save the indicator settings that best match your trading preferences to ensure efficiency and ease of use.
NZTVolume stands out among other indicators for its universal functions, versatility, simplicity of installation and setup, high performance, and extensive customization capabilities, making it an indispensable tool for traders of all levels.
The indicator was developed by Temirlan Tolegenov for NZT Trader Community, April 2024, Prague, Czech Republic
ОПИСАНИЕ НА РУССКОМ ЯЗЫКЕ
🔶 ВСТУПЛЕНИЕ
NZTVolume — это продвинутый индикатор для TradingView , вдохновленный ментором Алмазом . Он предназначен для облегчения аналитической работы трейдеров, которые активно используют данные о реальных объёмах торгов в своем анализе. Индикатор также имеет множество функций, которые упрощают работу и предоставляют большие возможности для анализа , включая ключевую функцию - выявление эффективных и неэффективных движений, которые описаны ниже.
🔶 СОДЕРЖАНИЕ
Индикатор обеспечивает детальную визуализацию реального объема . Другие функции, такие как изменение цвета свечей в зависимости от объема, отображение гистограммы процентное изменение объема и отображение свечи, собравшей ликвидность, но самой уникальной функцией является определение эффективных и неэффективных движений, оповещения по ним встроены в индикатор, и у трейдеров появится уникальная возможность установить оповещения на ожидание первого эффективного движения (его смысл и описание ниже). ) , всё это реализовано посредством продвинутых вычислительных алгоритмов, примененных в коде.
Ключевые функции включают в себя гистограмму реального объема, динамическое изменение цвета свечи, таблицу среднего объема, процентное изменение объема, свечу, взявшую ликвидности, скользящие средние объема, эффективные и неэффективные движения с их линиями, 3 типа настраиваемых параметров. Оповещения об объеме.
🔶 ЛОГИКА
🔹 Динамическое изменение цвета свечей (Изменить цвет свечей)
Свечи меняют цвет на контрастный , если их объем превышает объем предыдущей свечи , дифференцируются на бычьи и медвежьи , включая настройки прозрачности и цвета . Можно настроить, включить или отключить.
🔹 Гистограмма реального объёма (Показывать гистограмму объёмов)
Автоматически извлекает данные по объемам и отображает их на графике. Можно настроить, включить или отключить.
🔹 Свеча, собравшая ликвидность (Показывать свечу собравшую ликвидность)
Свеча, собравшая ликвидность , которая определена в коде максимальной и минимальной ценой свечи и объемом, который она имеет , отображается на гистограмма . Можно настроить, включить или отключить.
🔹 Процентное изменение объема (Показывать гистограмму процентного изменения объема)
Вычисляет и отображает процентные изменения объема на гистограмме. Можно настроить, включить или отключить.
🔹 Эффективные и неэффективные движения(Показать Эффективныеи неэффективные движения)
Рассчитав среднюю волатильность последних баров, а также вычислив средний объем последних баров, сравнивая и противопоставляя их, мы получаем принцип эффективного и неэффективного движения/столбца. В код включены оповещения, которые позволяют оповещать пользователя при появлении первого эффективного движения/свечи, что позволяет существенно улучшить торговлю и сохранить концентрацию. По сути, это отдельный столбец на гистограмме, но он называется движением, потому что так, его логику будет легче понять.
🔹 Линия эффективности и неэффективности (Показывать линии эффективности и неэффективности)
Эти линии соединяют хаи всех эффективных и неэффективных движений на гистограмме, позволяя трейдерам практиковаться, а также строить свою торговую стратегию на торговый день.
🔹 Таблица среднего объема (Показать таблицу со значением определения)
Отображает средний объем на бар для выбранных временных интервалов с возможностью настройки периода . Можно настроить, включить или отключить.
🔹 Скользящие средние объёма (Показать среднюю скользящую объём)
Три линии, соответствующие установленным пользователем временным интервалам , показывают изменение объема с настройками цвета и толщины. Можно настроить, включить или отключить.
🔹 Оповещения (Во сколько раз объем свечи должен превышать предыдущую для оповещения)
Оповещения могут быть вызваны тремя условиями
1. Если на выбранном таймфрейме объем текущей свечи превысит объем предыдущей свечи в заданное пользователем количество раз , сработает оповещение
2. Если на выбранном таймфрейме появляется свеча ликвидности , срабатывает оповещение
3. Если на выбранном таймфрейме появляется эффективный столбец/движение , срабатывает оповещение.
Это можно настроить, включить или отключить.
🔶 ТЕХНИЧЕСКИЕ ХАРАКТЕРИСТИКИ И УНИКАЛЬНОСТЬ
В основе NZTVolume лежит серия продвинутых алгоритмов, которые анализируют данные об объемах в режиме реального времени.
Некоторые из них:
Рассчёт средние объёмы за заданный период времени (в часах).
Свечи, снявшие ликвидность - учитывает большой объем и размер шпилей.
Процентное изменение объема на гистограмме — рассчитывает процентное изменение объема для каждого бара и отображает его на графике.
Эффективное и неэффективное движение - рассчитывается по алгоритму, учитывающему средний объем и среднюю волатильность, предполагая, что объем крупных игроков будет сигнализировать о намерении рынка и силе движения.
🔶 НАСТРОЙКИ
🔹 Свечи
Включить/отключить изменение цвета свечей в зависимости от объема . Настройте цвета контрастных и стандартных свечей, настройте прозрачность.
🔹 Настройки гистограммы
Показать гистограмму объема , показать свечу взятой ликвидности, показать гистограмму процентного изменения объема, показать эффективные и неэффективные движения, показать линию эффективности/неэффективности.
🔹 Настройки отображения на гистограмме
Настраиваемые цвета для бычьих, медвежьих, свечей, собравших ликвидность столбцов, а также для эффективных и неэффективных движений/столбцов и линий, которые их соединяют.
🔹 Таблица
Переключайте отображение таблицы среднего объема, настраивайте фон и устанавливайте временные диапазоны (3 параметра, мультитаймфрейм).
🔹 Линии
Возможность отобразить/скрыть линии среднего объема , выбрать цвет и толщину для каждой из трех линий.
🔹 Алерты
Как было сказано ранее, есть 3 типа оповещений , которые можно отключить , можно выбрать параметр — во сколько раз объем текущей свечи должен превышать объем предыдущей свечи, чтобы сработало оповещение.
🔶 РЕКОМЕНДАЦИИ К ИСПОЛЬЗОВАНИЮ
Рекомендуется установить и сохранить настройки индикатора, которые лучше всего соответствуют вашим торговым предпочтениям, чтобы обеспечить эффективность и простоту использования.
NZTVolume выделяется среди других индикаторов своими универсальными функциями, универсальностью, простотой установки и настройки, высокой производительностью и широкими возможностями настройки, что делает его незаменимым инструментом для трейдеров всех уровней.
Индикатор разработан Темирланом Толегеновым для международного сообщества NZT Trader , Апрель 2024, Прага, Чешская Республика.
The indicator is published in accordance and respect to all House Rules of the TradingView platform.
Индикатор опубликован в соответствии и уважением ко всем внутренним правилами платформы TradingView.
Venit A.I Trading V1RSI indicatorThis indicator is designed to provide buy and sell signals based on the Relative Strength Index (RSI). Here's a breakdown of its components and functionality:
1. **Input Parameters**:
- `Period`: This parameter allows the user to adjust the period used in calculating the RSI.
- `Upper Threshold` and `Lower Threshold`: These parameters define the overbought and oversold levels for the RSI.
- `Imverse Algorithm`: This parameter allows the user to toggle between different algorithms for generating buy and sell signals.
- `Show Lines`: This parameter toggles the visibility of lines on the chart indicating buy and sell signals.
- `Show Labels`: This parameter toggles the visibility of labels on the chart indicating buy and sell signals.
2. **RSI Calculation**:
- The RSI is calculated using the specified period (`myPeriod`), typically representing the closing prices of the asset.
3. **Buy and Sell Conditions**:
- Buy conditions are determined based on whether the RSI crosses below the lower threshold (`myThresholdDn`), indicating potential oversold conditions.
- Sell conditions are determined based on whether the RSI crosses above the upper threshold (`myThresholdUp`), indicating potential overbought conditions.
- The choice of buy and sell conditions can be toggled using the `Imverse Algorithm` parameter.
4. **Position Tracking**:
- The indicator maintains a variable `myPosition` to track the current position (buy or sell) based on the generated signals.
- If a buy signal occurs (`buy` condition is true), `myPosition` is set to 0. If a sell signal occurs (`sell` condition is true) or the previous position was a buy, `myPosition` is set to 1. Otherwise, `myPosition` remains unchanged.
5. **Visualization**:
- Buy and sell signals are plotted on the chart using shapes (`plotshape`) based on the `myLineToggle` and `myLabelToggle` parameters.
- Lines are drawn on the chart to visually represent buy and sell signals.
- Labels are placed on the chart indicating buy and sell signals.
6. **Alerts**:
- The indicator provides alerts for buy and sell signals using the `alertcondition` function.
Overall, this indicator aims to provide traders with signals based on RSI movements, helping them identify potential buying and selling opportunities in the market. The flexibility in parameters allows users to customize the indicator based on their trading preferences and strategies.
Fair Value Gap Screener | Flux Charts💎 GENERAL OVERVIEW
Introducing our new Fair Value Gap Screener! This screener can provide information about the latest Fair Value Gaps in up to 5 tickers. You can also customize the algorithm that finds the Fair Value Gaps and the styling of the screener.
Features of the new Fair Value Gap (FVG) Screener :
Find Latest Fair Value Gaps Accross 5 Tickers
Shows Their Information Of :
Latest Status
Number Of Retests
Consumption Percent
Bullish & Bearish Volume
Customizable Algoritm / Styling
📌 HOW DOES IT WORK ?
A Fair Value Gap generally occur when there is an imbalance in the market. They can be detected by specific formations within the chart. This screener then finds Fair Value Gaps accross 5 different tickers, and shows the latest information about them.
Status ->
Far -> The current price is far away from the FVG.
Approaching ⬆️/⬇️ -> The current price is approaching the FVG, and the direction it's approaching from.
Inside -> The price is currently inside the FVG.
Retests -> Retest means the price tried to invalidate the FVG, but failed to do so. Here you can see how many times the price retested the FVG.
Consumed -> FVGs get consumed when a Close / Wick enters the FVG zone. For example, if the price hits the middle of the FVG zone, the zone is considered 50% consumed.
Bullish / Bearish Volume -> Bullish & Bearish volume of a FVG is calculated by analyzing the bars that formed it. For example in a bullish FVG, the bullish volume is the total volume of the first 2 bars forming the FVG, and the bearish volume is the volume of the 3rd bar that forms it.
🚩UNIQUENESS
This screener can detect latest Fair Value Gaps and give information about them for up to 5 tickers. This saves the user time by showing them all in a dashboard at the same time. The screener also uniquely shows information about the number of retests and the consumed percent of the FVG, as well as it's bullish & bearish volume. We believe that this extra information will help you spot reliable FVGs easier.
⚙️SETTINGS
1. Tickers
You can set up to 5 tickers for the screener to scan Fair Value Gaps here. You can also enable / disable them and set their individual timeframes.
2. General Configuration
Zone Invalidation -> Select between Wick & Close price for FVG Zone Invalidation.
Zone Filtering -> With "Average Range" selected, algorithm will find FVG zones in comparison with average range of last bars in the chart. With the "Volume Threshold" option, you may select a Volume Threshold % to spot FVGs with a larger total volume than average.
FVG Detection -> With the "Same Type" option, all 3 bars that formed the FVG should be the same type. (Bullish / Bearish). If the "All" option is selected, bar types may vary between Bullish / Bearish.
Detection Sensitivity -> You may select between Low, Normal or High FVG detection sensitivity. This will essentially determine the size of the spotted FVGs, with lower sensitivies resulting in spotting bigger FVGs, and higher sensitivies resulting in spotting all sizes of FVGs.
BigBeluga - Smart Money ConceptsSmart Money Concepts (SMC) is a comprehensive toolkit built around the around the principles of "smart money" behavior, which refers to the actions and strategies of institutional investors.
SMC transcends traditional technical analysis by delving deeper into this framework. This approach allows users to decipher the actions of these influential players, anticipate their potential impact on market dynamics, and gain insights beyond just price movements.
This all-in-one toolkit provide the user with a unique experience by automating most of the basic and advanced concepts on the chart, saving them time and improving their trading ideas.
🔹Real-time market structure analysis simplifies complex trends by pinpointing key support, resistance, and breakout levels.
🔹Advanced order block analysis leverages detailed volume data to pinpoint high-demand zones, revealing internal market sentiment and predicting potential reversals. This analysis utilizes bid/ask zones to provide supply/demand insights, empowering informed trading decisions.
🔹Imbalance Concepts (FVG and Breakers) allows traders to identify potential market weaknesses and areas where price might be attracted to fill the gap, creating opportunities for entry and exit
🔹Swing failure patterns help traders identify potential entry points and rejection zones based on price swings
🔹Liquidity Concepts, our advanced liquidity algorithm, pinpoints high-impact events, allowing you to predict market shifts, strong price reactions, and potential stop-loss hunting zones. This gives traders an edger to make informed trading decisions based on multi-timeframe liquidity dynamics
🔶 FEATURES
The indicator has quite a lot of features that are provided below:
Swing market structure
Internal market structure
Mapping structure
Discount/Premium zone
Adjustable market structure
Strong/Weak H&L
Sweep
Volumetric Order block / Breakers
Fair Value Gaps / Breakers (multi-timeframe)
Swing Failure Patterns (multi-timeframe)
Deviation area
Equal H&L
Liquidity Prints
Buyside & Sellside
Sweep Area
Highs and Lows (multi-timeframe)
🔶 BASIC DEMONSTRATION
The preceding image illustrates the market structure functionality within the Smart Money Concepts indicator.
Solid lines: These represent the core indicator's internal structure, forming the foundation for most other components. They visually depict the overall market direction and identify major reversal points marked by significant price movements (denoted as 'x').
Dotted lines: These represent an alternative internal structure with the potential to drive more rapid market shifts. This is particularly relevant when a significant gap exists in the established swing structure, specifically between the Break of Structure (BOS) and the most recent Change of High/Low (CHoCH). Identifying these formations can offer opportunities for quicker entries and potential short-term reversals.
Sweeps (x): These signify potential turning points in the market where liquidity is removed from the structure. This suggests a possible trend reversal and presents crucial entry opportunities. Sweeps are identified within both swing and internal structures, providing valuable insights for informed trading decisions.
🔶 USAGE & EXAMPLES
The image above showcases a detailed example of several features from our toolkit that can be used in conjunction for a comprehensive analysis.
Price rejecting from the bullish order block (POC), while printing inside a bullish SFP and internal structure turning bullish (Internal CHoCH).
The image further demonstrates how two bearish order blocks could potentially act as resistance zones when prices approach those levels. These areas might also offer attractive locations to place take-profit orders.
The price has reached our first take-profit level, but is exhibiting some signs of weakness, suggesting a potential pullback which could put the trade at higher risk.
On the other hand, the price action currently exhibits strong bullish sentiment, suggesting favorable entry points and a potential upward trend.
The price has now fully reached our take-profit zone and is also exhibiting bearish confluence, indicating a potential price reversal or trend shift.
🔶 USING CONFLUENCE
The core principle behind the success of this toolkit lies in identifying "confluence." This refers to the convergence of multiple trading indicators all signaling the same information at a specific point or area. By seeking such alignment, traders can significantly enhance the likelihood of successful trades.
In the image above we can see a few examples of the indicator used in confluence with other metrics included in the toolkit.
Liquidity Prints within order blocks
SFP close to the POC
Sweep in liquidity close to a fair value gaps
These are just a few examples of what applying confluence can look like.
🔶 SETTINGS
Window: limit calculation period
Swing: limit drawing function
Internal: a period of the beginning of the internal structure
Mapping structure: show structural points
Algorithmic Logic: (Extreme-Adjusted) Use max high/low or pivot point calculation
Algorithmic loopback: pivot point look back
Premium / Discount: Lookback period of the pivot point calculation
Show Last: Amount of Order block to display
Hide Overlap: hide overlapping order blocks
Construction: Size of the order blocks
Fair value gaps: Choose between normal FVG or Breaker FVG
Mitigation: (close - wick- avg) point to mitigate the order block/imbalance
SFP lookback: find a higher / lower point to improve accuracy
Threshold: remove less relevant SFP
Equal h&L: (short-mid-long term) display longer term
Any Alert(): Trigger alerts based on the selected inputs
Adaptive Fisherized Z-scoreHello Fellas,
It's time for a new adaptive fisherized indicator of me, where I apply adaptive length and more on a classic indicator.
Today, I chose the Z-score, also called standard score, as indicator of interest.
Special Features
Advanced Smoothing: JMA, T3, Hann Window and Super Smoother
Adaptive Length Algorithms: In-Phase Quadrature, Homodyne Discriminator, Median and Hilbert Transform
Inverse Fisher Transform (IFT)
Signals: Enter Long, Enter Short, Exit Long and Exit Short
Bar Coloring: Presents the trade state as bar colors
Band Levels: Changes the band levels
Decision Making
When you create such a mod you need to think about which concepts are the best to conclude. I decided to take Inverse Fisher Transform instead of normalization to make a version which fits to a fixed scale to avoid the usual distortion created by normalization.
Moreover, I chose JMA, T3, Hann Window and Super Smoother, because JMA and T3 are the bleeding-edge MA's at the moment with the best balance of lag and responsiveness. Additionally, I chose Hann Window and Super Smoother because of their extraordinary smoothing capabilities and because Ehlers favours them.
Furthermore, I decided to choose the half length of the dominant cycle instead of the full dominant cycle to make the indicator more responsive which is very important for a signal emitter like Z-score. Signal emitters always need to be faster or have the same speed as the filters they are combined with.
Usage
The Z-score is a low timeframe scalper which works best during choppy/ranging phases. The direction you should trade is determined by the last trend change. E.g. when the last trend change was from bearish market to bullish market and you are now in a choppy/ranging phase confirmed by e.g. Chop Zone or KAMA slope you want to do long trades.
Interpretation
The Z-score indicator is a momentum indicator which shows the number of standard deviations by which the value of a raw score (price/source) is above or below the mean value of what is being observed or measured. Easily explained, it is almost the same as Bollinger Bands with another visual representation form.
Signals
B -> Buy -> Z-score crosses above lower band
S -> Short -> Z-score crosses below upper band
BE -> Buy Exit -> Z-score crosses above 0
SE -> Sell Exit -> Z-score crosses below 0
If you were reading till here, thank you already. Now, follows a bunch of knowledge for people who don't know the concepts I talk about.
T3
The T3 moving average, short for "Tim Tillson's Triple Exponential Moving Average," is a technical indicator used in financial markets and technical analysis to smooth out price data over a specific period. It was developed by Tim Tillson, a software project manager at Hewlett-Packard, with expertise in Mathematics and Computer Science.
The T3 moving average is an enhancement of the traditional Exponential Moving Average (EMA) and aims to overcome some of its limitations. The primary goal of the T3 moving average is to provide a smoother representation of price trends while minimizing lag compared to other moving averages like Simple Moving Average (SMA), Weighted Moving Average (WMA), or EMA.
To compute the T3 moving average, it involves a triple smoothing process using exponential moving averages. Here's how it works:
Calculate the first exponential moving average (EMA1) of the price data over a specific period 'n.'
Calculate the second exponential moving average (EMA2) of EMA1 using the same period 'n.'
Calculate the third exponential moving average (EMA3) of EMA2 using the same period 'n.'
The formula for the T3 moving average is as follows:
T3 = 3 * (EMA1) - 3 * (EMA2) + (EMA3)
By applying this triple smoothing process, the T3 moving average is intended to offer reduced noise and improved responsiveness to price trends. It achieves this by incorporating multiple time frames of the exponential moving averages, resulting in a more accurate representation of the underlying price action.
JMA
The Jurik Moving Average (JMA) is a technical indicator used in trading to predict price direction. Developed by Mark Jurik, it’s a type of weighted moving average that gives more weight to recent market data rather than past historical data.
JMA is known for its superior noise elimination. It’s a causal, nonlinear, and adaptive filter, meaning it responds to changes in price action without introducing unnecessary lag. This makes JMA a world-class moving average that tracks and smooths price charts or any market-related time series with surprising agility.
In comparison to other moving averages, such as the Exponential Moving Average (EMA), JMA is known to track fast price movement more accurately. This allows traders to apply their strategies to a more accurate picture of price action.
Inverse Fisher Transform
The Inverse Fisher Transform is a transform used in DSP to alter the Probability Distribution Function (PDF) of a signal or in our case of indicators.
The result of using the Inverse Fisher Transform is that the output has a very high probability of being either +1 or –1. This bipolar probability distribution makes the Inverse Fisher Transform ideal for generating an indicator that provides clear buy and sell signals.
Hann Window
The Hann function (aka Hann Window) is named after the Austrian meteorologist Julius von Hann. It is a window function used to perform Hann smoothing.
Super Smoother
The Super Smoother uses a special mathematical process for the smoothing of data points.
The Super Smoother is a technical analysis indicator designed to be smoother and with less lag than a traditional moving average.
Adaptive Length
Length based on the dominant cycle length measured by a "dominant cycle measurement" algorithm.
Happy Trading!
Best regards,
simwai
---
Credits to
@cheatcountry
@everget
@loxx
@DasanC
@blackcat1402
Fractal Consolidations [Pro+]Introduction:
Fractal Consolidations Pro+ pushes the boundaries of Algorithmic Price Delivery Analysis. Tailored for traders seeking precision and efficiency to unlock hidden insights, this tool empowers you to dissect market Consolidations on your terms, live, in all asset classes.
What is a Fractal Consolidation?
Consolidations occur when price is trading in a range. Normally, Consolidation scripts use a static number of "lookback candles", checking whether price is continuously trading inside the highest and lowest price points of said Time window.
After years spent studying price action and numerous programming attempts, this tool succeeds in veering away from the lookback candle approach. This Consolidation script harnesses the delivery mechanisms and Time principles of the Interbank Price Delivery Algorithm (IPDA) to define Fractal Consolidations – solely based on a Timeframe Input used for context.
Description:
This concept was engineered around price delivery principles taught by the Inner Circle Trader (ICT). As per ICT, it's integral for an Analyst to understand the four phases of price delivery: Consolidation , Expansion , Retracement , and Reversal .
According to ICT, any market movement originates from a Consolidation, followed by an Expansion .
When Consolidation ranges begin to break and resting liquidity is available, cleaner Expansions will take place. This tool's value is to visually aid Analysts and save Time in finding Consolidations in live market conditions, to take advantage of Expansion moves.
CME_MINI:ES1! 15-Minute Consolidation setting up an Expansion move, on the 10 Minute Chart:
Fractal Consolidations Pro+ doesn't only assist in confirming Higher Timeframe trend continuations and exposing opportunities on Lower Timeframes. It's also designed for both advanced traders and new traders to save Time and energy in navigating choppy or rangebound environments.
CME_MINI:ES1! 30 Minute Consolidation forming Live, on the 5 Minute Chart:
By analyzing past price action, traders will find algorithmic signatures when Consolidations are taking place, therefore providing a clearer view of where and when price is likely to contract, continue consolidating, breakout, retrace, or reverse. A prominent signature to consider when using this script is ICT's Market Maker Buy/Sell Models. These signatures revolve around the engineering of Consolidations to manipulate price in a specific direction, to then reverse at the appropriate Time. Each stage of the Market Maker Model can be identified and taken advantage of using Fractal Consolidations.
CME_MINI:NQ1! shift of the Delivery Curve from a Sell Program to a Buy Program, Market Maker Buy Model
Key Features:
Tailored Timeframes: choose the Timeframe that suits your model. Whether you're a short-term enthusiast eyeing 1 Hour Consolidations or a long-term trend follower analyzing 4 Hour Consolidations, this tool gives you the freedom to choose.
FOREXCOM:EURUSD Fractal Consolidations on a 15 Minute Chart:
Auto-Timeframe Convenience: for those who prefer a more dynamic and adaptive approach, our Auto Timeframe feature effortlessly adjusts to the most relevant Timeframe, ensuring you stay on top of market consolidations without manually adjusting settings.
Consolidation Types: define consolidations as contractions of price based on either its wick range or its body range.
COMEX:GC1! 4 Hour Consolidation differences between Wick-based and Body-based on a 1 Hour Chart:
Filtering Methods: combine previous overlapping Consolidations, merging them into one uniform Consolidation. This feature is subject to repainting only while a larger Consolidation is forming , as smaller Consolidations are confirmed. However once established, the larger Consolidation will not repaint .
FOREXCOM:GBPUSD 15 Minute Consolidation Differences between Filter Consolidations ON and OFF:
IPDA Data Range Filtering: this feature gives the Analyst control for selective visibility of Consolidations in the IPDA Data Range Lookback . The Analyst can choose between 20, 40, and 60 days as per ICT teachings, or manually adjust through Override.
INDEX:BTCUSD IPDA40 Data Range vs. IPDA20 Data Range:
Extreme Float: this feature provides reference points when the price is outside the highest or lowest liquidity levels in the chosen IPDA Data Range Lookback. These Open Float Extremes offer critical insights when the market extends beyond the Lookback Consolidation Liquidity Levels . This feature helps identify liquidity extremes of interest that IPDA will consider, which is crucial for traders in understanding market movements beyond the IPDA Data Ranges.
INDEX:ETHUSD Extreme Float vs. Non-Extreme Float Liquidity:
IPDA Override: the Analyst can manually override the default settings of the IPDA Data Range Lookback, enabling more flexible and customized analysis of market data. This is particularly useful for focusing on recent price actions in Lower Timeframes (like viewing the last 3 days on a 1-minute timeframe) or for incorporating a broader data range in Higher Timeframes (like using 365 days to analyze Weekly Consolidations on a daily timeframe).
Liquidity Insight: gain a deeper understanding of market liquidity through customizable High Resistance Liquidity Run (HRLR) and Low Resistance Liquidity Run (LRLR) Consolidation colors. This feature helps distinguishing between HRLR (high resistance, delayed price movement) and LRLR (low resistance, smooth price movement) Consolidations, aiding in quick assessment of market liquidity types.
TVC:DXY Low Resistance vs. High Resistance Consolidation Liquidity Behaviour and Narrative:
Liquidity Raid Type: decide whether to categorize a Consolidation liquidity raid by a wick or body trading through a level.
CBOT:ZB1! Wick vs. Body Liquidity Raid Type:
Customizable User Interface: tailor the visual representation to align with your preferences. Personalize your trading experience by adjusting the colors of consolidation liquidity (highs and lows) and equilibrium, as well as line styles.
DNA GRAVITY PRICE V1 PINESCRIPTLABSWe can observe that this indicator displays the range within which the asset fluctuates around the average price, and its behavior depends on the parameters of amplitude and angular frequency. "price_mas" is a measure calculated as part of the indicator. It is derived by adding an adjusted amplitude (A_mas) multiplied by the cosine of the combination of angular frequency (w), time, and a phase shift (phi) to the average price (P0). This calculated value oscillates around the actual asset price and is used to identify potential turning points and the range where the price has established itself within the specified lookback period.
2.- At its core, the indicator utilizes the innovative concept of 'price_mas,' a calculated metric visualized in three essential colors: green to indicate low levels, blue for medium levels, and red for high levels. These colors reflect the position of the price in relation to a range determined by historical highs and lows.
In the context of the "DNA GRAVITY PRICE V1 " indicator, low, medium, and high levels specifically refer to the calculated value of 'price_mas,' which is a derived measure within the indicator. They do not directly refer to the actual asset price but rather to a calculated value that the indicator uses to analyze and predict the behavior of the asset's price.
This algorithm stands out for its ability to capture the 'strength' of the price through the 'price_mas' zones. Once the price exits the zones marked by the 'price_mas' (red, blue, and green plots), it tends to return with significant force.
Buy & Sell Signals:
Buy Signal: If the price and the Donchian lines cross above the high threshold, visually represented by red diamonds, it indicates a strong bullish momentum. This not only shows that the price is rising but also that the trend is strong enough to push the Donchian lines, which represent price extremes over a certain period, above the threshold. This convergence of movements, marked by the crossing over the red diamonds, suggests a higher probability of the bullish trend continuing.
Sell Signal: Similarly, if the price and the Donchian lines fall below the low threshold, visualized as green diamonds, this signals a significant bearish momentum. The simultaneous decline of the price and the Donchian lines below this threshold, marked by the green diamonds, indicates that not only is the price decreasing, but the bearish trend is strong enough to influence the price extremes calculated by the Donchian lines.
Configuration:
-The "Initial Dynamic Length of MAS Price" parameter controls the smoothness and sensitivity of the indicator. A high value smooths the Simple Moving Average (SMA), making the indicator less responsive to short-term price fluctuations. On the other hand, a low value makes the indicator more sensitive to short-term price fluctuations, generating faster and more volatile signals
-This parameter, "MAS Amplitude Percentage," determines the amplitude as a percentage. Increasing the Initial Dynamic Price will result in a larger amplitude relative to the price, leading to wider ranges for the indicator. Decreasing this value will have the opposite effect, reducing the amplitude relative to the price. Increasing "A_mas_pct" can make signals more extreme and less frequent, while decreasing it will make signals smoother and more frequent.
-This parameter, "Angular Frequency of MAS," affects the frequency of oscillations in the calculation of the "Initial Dynamic Price." A higher value of "w" will make the oscillations faster and more frequent, which means that the indicator will be more responsive to abrupt price changes. Conversely, a lower value will make the oscillations slower and smoother, making the indicator less sensitive to rapid price changes. Modifying ""Angular Frequency of MAS,"" directly impacts the frequency of oscillations in the indicator.
Español:
Podemos observar que este indicador muestra el rango en el cual el activo fluctúa alrededor del precio promedio y su comportamiento depende de los parámetros de amplitud y frecuencia angular. "price_mas" es una medida calculada como parte del indicador. Se deriva al sumar una amplitud ajustada (A_mas) multiplicada por el coseno de la combinación de frecuencia angular (w), tiempo y un desplazamiento de fase (phi) al precio promedio (P0). Este valor calculado oscila alrededor del precio real del activo y se utiliza para identificar posibles puntos de giro y el rango donde el precio se ha establecido dentro del período de búsqueda especificado.
En su núcleo, el indicador utiliza el innovador concepto de 'price_mas', una métrica calculada visualizada en tres colores esenciales: verde para indicar niveles bajos, azul para niveles medios y rojo para niveles altos. Estos colores reflejan la posición del precio en relación con un rango determinado por los máximos y mínimos históricos.
En el contexto del indicador "DNA GRAVITY PRICE V1", los niveles bajos, medios y altos se refieren específicamente al valor calculado de 'price_mas', que es una medida derivada dentro del indicador. No se refieren directamente al precio real del activo, sino a un valor calculado que el indicador utiliza para analizar y predecir el comportamiento del precio del activo.
Este algoritmo se destaca por su capacidad para capturar la 'fortaleza' del precio a través de las zonas de 'price_mas'. Una vez que el precio sale de las zonas marcadas por 'price_mas' (trazas rojas, azules y verdes), tiende a regresar con una fuerza significativa. Este comportamiento es crucial para los operadores, ya que proporciona oportunidades tanto para capitalizar las retracciones de precios como para anticipar posibles cambios de tendencia.
Señales de Compra y Venta:
Señal de Compra: Si el precio y las líneas Donchian cruzan por encima del umbral alto, visualmente representado por diamantes rojos, indica un fuerte impulso alcista. Esto no solo muestra que el precio está aumentando, sino que la tendencia es lo suficientemente fuerte como para empujar las líneas Donchian, que representan los extremos de precio durante un período determinado, por encima del umbral. Esta convergencia de movimientos, marcada por el cruce sobre los diamantes rojos, sugiere una mayor probabilidad de que la tendencia alcista continúe.
Señal de Venta: De manera similar, si el precio y las líneas Donchian caen por debajo del umbral bajo, visualizado como diamantes verdes, esto señala un fuerte impulso bajista. La caída simultánea del precio y las líneas Donchian por debajo de este umbral, marcada por los diamantes verdes, indica que no solo el precio está disminuyendo, sino que la tendencia bajista es lo suficientemente fuerte como para influir en los extremos de precio calculados por las líneas Donchian.
Configuración:
El parámetro "Longitud Dinámica Inicial de MAS Price" controla la suavidad y la sensibilidad del indicador. Un valor alto suaviza el Promedio Móvil Simple (SMA), lo que hace que el indicador sea menos sensible a las fluctuaciones de precio a corto plazo. Por otro lado, un valor bajo hace que el indicador sea más sensible a las fluctuaciones de precio a corto plazo, generando señales más rápidas y volátiles.
Este parámetro, "Porcentaje de Amplitud de MAS," determina la amplitud como un porcentaje. Aumentar el valor de "Longitud Dinámica Inicial de MAS Price" dará como resultado una amplitud más grande en relación con el precio, lo que conducirá a rangos más amplios para el indicador. Disminuir este valor tendrá el efecto contrario, reduciendo la amplitud en relación con el precio. Aumentar "Porcentaje de A_mas" puede hacer que las señales sean más extremas y menos frecuentes, mientras que disminuirlo hará que las señales sean más suaves y más frecuentes.
Este parámetro, "Frecuencia Angular de MAS," afecta la frecuencia de las oscilaciones en el cálculo del "Precio Móvil Simple Inicial." Un valor más alto de "w" hará que las oscilaciones sean más rápidas y frecuentes, lo que significa que el indicador será más receptivo a cambios abruptos en el precio. Por otro lado, un valor más bajo hará que las oscilaciones sean más lentas y suaves, haciendo que el indicador sea menos sensible a cambios rápidos en el precio. Modificar "Frecuencia Angular de MAS" afecta directamente la frecuencia de las oscilaciones en el indicador.
KNN Regression [SS]Another indicator release, I know.
But note, this isn't intended to be a stand-alone indicator, this is just a functional addition for those who program Machine Learning algorithms in Pinescript! There isn't enough content here to merit creating a library for (it's only 1 function), but it's a really useful function for those who like machine learning and Nearest Known Neighbour Algos (or KNN).
About the indicator:
This indicator creates a function to perform KNN-based regression.
In contrast to traditional linear regression, KNN-based regression has the following advantages over linear regression:
Advantages of KNN Regression vs. Linear Regression:
🎯 Non-linearity: KNN is a non-parametric method, meaning it makes no assumptions about the underlying data distribution. This allows it to capture non-linear relationships between features and the target variable.
🎯Simple Implementation: KNN is conceptually simple and easy to understand. It doesn't require the estimation of parameters, making it straightforward to implement.
🎯Robust to Outliers: KNN is less sensitive to outliers compared to linear regression. Outliers can have a significant impact on linear regression models, but KNN tends to be less affected.
Disadvantages of KNN Regression vs. Linear Regression:
🎯 Resource Intensive for Computation: Because KNN operates on identifying the nearest neighbors in a dataset, each new instance has to be searched for and identified within the dataset, vs. linear regression which can create a coefficient-based model and draw from the coefficient for each new data point.
🎯Curse of Dimensionality: KNN performance can degrade with an increasing number of features, leading to a "curse of dimensionality." This is because, in high-dimensional spaces, the concept of proximity becomes less meaningful.
🎯Sensitive to Noise: KNN can be sensitive to noisy data, as it relies on the local neighborhood for predictions. Noisy or irrelevant features may affect its performance.
Which is better?
I am very biased, coming from a statistics background. I will always love linear regression and will always prefer it over KNN. But depending on what you want to accomplish, KNN makes sense. If you are using highly skewed data or data that you cannot identify linearity in, KNN is probably preferable.
However, if you require precise estimations of ranges and outliers, such as creating co-integration models, I would advise sticking with linear regression. However, out of curiosity, I exported the function into a separate dummy indicator and pulled in data from QQQ to predict SPY close, and the results are actually very admirable:
And plotted with showing the standard error variance:
Pretty impressive, I must say I was a little shocked, it's really giving linear regression a run for its money. In school I was taught LinReg is the gold standard for modeling, nothing else compares. So as with most things in trading, this is challenging some biases of mine ;).
Functionality of the function
I have permitted 3 types of KNN regression. Traditional KNN regression, as I understand it, revolves around clustering. ( Clustering refers to identifying a cluster, normally 3, of identical cases and averaging out the Dependent variable in each of those cases) . Clustering is great, but when you are working with a finite dataset, identifying exact matches for 2 or 3 clusters can be challenging when you are only looking back at 500 candles or 1000 candles, etc.
So to accommodate this, I have added a functionality to clustering called "Tolerance". And it allows you to set a tolerance level for your Euclidean distance parameters. As a default, I have tested this with a default of 0.5 and it has worked great and no need to change even when working with large numbers such as NQ and ES1!.
However, I have added 2 additional regression types that can be done with KNN.
#1 One is a regression by the last IDENTICAL instance, which will find the most recent instance of a similar Independent variable and pull the Dependent variable from that instance. Or
#2 Average from all IDENTICAL instances.
Using the function
The code has the instructions for integrating the function into your own code, the parameters, and such, so I won't exhaust you with the boring details about that here.
But essentially, it exports 3, float variables, the Result, the Correlation, and the simplified R2.
As this is KNN regression, there are no coefficients, slopes, or intercepts and you do not need to test for linearity before applying it.
Also, the output can be a bit choppy, so I tend to like to throw in a bit of smoothing using the ta.sma function at a deault of 14.
For example, here is SPY from QQQ smoothed as a 14 SMA:
And it is unsmoothed:
It seems relatively similar but it does make a bit of an aesthetic difference. And if you are doing it over 14, there is no data loss and it is still quite reactive to changes in data.
And that's it! Hopefully you enjoy and find some interesting uses for this function in your own scripts :-).
Safe trades everyone!
IPDA Standard Deviations [DexterLab x TFO x toodegrees]> Introduction and Acknowledgements
The IPDA Standard Deviations tool encompasses the Time and price relationship as studied by @TraderDext3r .
I am not the creator of this Theory, and I do not hold the answers to all the questions you may have; I suggest you to study it from Dexter's tweets, videos, and material.
This tool was born from a collaboration between @TraderDext3r, @tradeforopp and I, with the objective of bringing a comprehensive IPDA Standard Deviations tool to Tradingview.
> Tool Description
This is purely a graphical aid for traders to be able to quickly determine Fractal IPDA Time Windows, and trace the potential Standard Deviations of the moves at their respective high and low extremes.
The disruptive value of this tool is that it allows traders to save Time by automatically adapting the Time Windows based on the current chart's Timeframe, as well as providing customizations to filter and focus on the appropriate Standard Deviations.
> IPDA Standard Deviations by TraderDext3r
The underlying idea is based on the Interbank Price Delivery Algorithm's lookback windows on the daily chart as taught by the Inner Circle Trader:
IPDA looks at the past three months of price action to determine how to deliver price in the future.
Additionally, the ICT concept of projecting specific manipulation moves prior to large displacement upwards/downwards is used to navigate and interpret the priorly mentioned displacement move. We pay attention to specific Standard Deviations based on the current environment and overall narrative.
Dexter being one of the most prominent Inner Circle Trader students, harnessed the fractal nature of price to derive fractal IPDA Lookback Time Windows for lower Timeframes, and studied the behaviour of price at specific Deviations.
For Example:
The -1 to -2 area can initiate an algorithmic retracement before continuation.
The -2 to -2.5 area can initiate an algorithmic retracement before continuation, or a Smart Money Reversal.
The -4 area should be seen as the ultimate objective, or the level at which the displacement will slow down.
Given that these ideas stem from ICT's concepts themselves, they are to be used hand in hand with all other ICT Concepts (PD Array Matrix, PO3, Institutional Price Levels, ...).
> Fractal IPDA Time Windows
The IPDA Lookbacks Types identified by Dexter are as follows:
Monthly – 1D Chart: one widow per Month, highlighting the past three Months.
Weekly – 4H to 8H Chart: one window per Week, highlighting the past three Weeks.
Daily – 15m to 1H Chart: one window per Day, highlighting the past three Days.
Intraday – 1m to 5m Chart: one window per 4 Hours highlighting the past 12 Hours.
Inside these three respective Time Windows, the extreme High and Low will be identified, as well as the prior opposing short term market structure point. These represent the anchors for the Standard Deviation Projections.
> Tool Settings
The User is able to plot any type of Standard Deviation they want by inputting them in the settings, in their own line of the text box. They will always be plotted from the Time Windows extremes.
As previously mentioned, the User is also able to define their own Timeframe intervals for the respective IPDA Lookback Types. The specific Timeframes on which the different Lookback Types are plotted are edge-inclusive. In case of an overlap, the higher Timeframe Lookback will be prioritized.
Finally the User is able to filter and remove Standard Deviations in two ways:
"Remove Once Invalidated" will automatically delete a Deviation once its outer anchor extreme is traded through.
Manual Toggles will allow to remove the Upward or Downward Deviation of each Time Window at the discretion of the User.
Major shoutout to Dexter and TFO for their Time, it was a pleasure to collaborate and create this tool with them.
GLGT!
Machine Learning Momentum Oscillator [ChartPrime]The Machine Learning Momentum Oscillator brings together the K-Nearest Neighbors (KNN) algorithm and the predictive strength of the Tactical Sector Indicator (TSI) Momentum. This unique oscillator not only uses the insights from TSI Momentum but also taps into the power of machine learning therefore being designed to give traders a more comprehensive view of market momentum.
At its core, the Machine Learning Momentum Oscillator blends TSI Momentum with the capabilities of the KNN algorithm. Introducing KNN logic allows for better handling of noise in the data set. The TSI Momentum is known for understanding how strong trends are and which direction they're headed, and now, with the added layer of machine learning, we're able to offer a deeper perspective on market trends. This is a fairly classical when it comes to visuals and trading.
Green bars show the trader when the asset is in an uptrend. On the flip side, red bars mean things are heading down, signaling a bearish movement driven by selling pressure. These color cues make it easier to catch the sentiment and direction of the market in a glance.
Yellow boxes are also displayed by the oscillator. These boxes highlight potential turning points or peaks. When the market comes close to these points, they can provide a heads-up about the possibility of changes in momentum or even a trend reversal, helping a trader make informed choices quickly. These can be looked at as possible reversal areas simply put.
Settings:
Users can adjust the number of neighbours in the KNN algorithm and choose the periods they prefer for analysis. This way, the tool becomes a part of a trader's strategy, adapting to different market conditions as they see fit. Users can also adjust the smoothing used by the oscillator via the smoothing input.
Hybrid EMA AlgoLearner⭕️Innovative trading indicator that utilizes a k-NN-inspired algorithmic approach alongside traditional Exponential Moving Averages (EMAs) for more nuanced analysis. While the algorithm doesn't actually employ machine learning techniques, it mimics the logic of the k-Nearest Neighbors (k-NN) methodology. The script takes into account the closest 'k' distances between a short-term and long-term EMA to create a weighted short-term EMA. This combination of rule-based logic and EMA technicals offers traders a more sophisticated tool for market analysis.
⭕️Foundational EMAs: The script kicks off by generating a 50-period short-term EMA and a 200-period long-term EMA. These EMAs serve a dual purpose: they provide the basic trend-following capability familiar to most traders, akin to the classic EMA 50 and EMA 200, and set the stage for more intricate calculations to follow.
⭕️k-NN Integration: The indicator distinguishes itself by introducing k-NN (k-Nearest Neighbors) logic into the mix. This machine learning technique scans prior market data to find the closest 'neighbors' or distances between the two EMAs. The 'k' closest distances are then picked for further analysis, thus imbuing the indicator with an added layer of data-driven context.
⭕️Algorithmic Weighting: After the k closest distances are identified, they are utilized to compute a weighted EMA. Each of the k closest short-term EMA values is weighted by its associated distance. These weighted values are summed up and normalized by the sum of all chosen distances. The result is a weighted short-term EMA that packs more nuanced information than a simple EMA would.
[blackcat] L1 TradingView Array and Series ConversionsLevel 1
Background
It just so happens that I need some functions that can convert between the Series data type and the Array data type.
Function
Series is a unique data type of TradingView. By operating Series data, the algorithm can be simplified, which is very convenient. However, in high-level languages, Array is a basic data type that provides great flexibility and can be used to develop advanced algorithms. This is why TradingView introduces the Array data type. This script simply demonstrates how to convert between these two data types.
s2a function: Convert a TV series into an array.
a2s function: Convert an array into a TV series
Finally, Courtesy of Electrified for his "Average Lib":
Remarks
Feedbacks are appreciated.
Market Price Order Divergence + Trapped Positions [Pt]█ Introduction
Specifically designed for trading on NYSE, NASDAQ, Dow Jones, and AMEX related instruments like SPY, QQQ, ES, NQ...etc., this innovative tool provides traders with advanced market insights to help them comprehend the market intricacies and make well-informed decisions. Comprising three primary features: Price Order Divergence (POD) Bubbles, Market Order Bubbles, and Trapped Positions/Zones, this tool assists traders in deciphering the nuances of market order flow and trends.
An important point to note is that TradingView doesn't currently provide direct access to market order data, such as buy and sell order flow. Therefore, this tool cleverly leverages TICK index data to estimate the overall market buy and sell strength.
█ Price Order Divergence (POD)
POD serves to detect disparities between the prices of US indices and estimated market orders during regular trading hours (9:30 to 16:00 EST). Bullish divergence indicates that the estimated market order flow is biased towards buy orders, despite bearish price action. In contrast, bearish divergence indicates that the market order flow is biased towards sell orders while the price exhibits bullish action. By default, PODs are visually represented as green bubbles under the candle for bullish divergence and red ones above the candle for bearish divergence. The bubble's size symbolizes the estimated market order strength.
█ Market Order Bubbles (MOB)
During extended or Globex hours, instead of POD, the tool uses Market Order Bubbles (MOB) to estimate market orders using volume data. Sophisticated algorithm is used to distinguish between bullish vs bearish volume. A strong bullish volume represents significant buy orders, whereas a strong bearish volume represents substantial sell orders. By default, MOBs during these hours are shown in blue for bullish and yellow for bearish divergence. Again, the bubble's size symbolizes the estimated market order strength.
█ Trapped Positions/Zones
Trapped positions materialize when PODs or MOBs emerge in trending markets. For example, a bearish divergence during an uptrend suggests significant selling (including shorting), and if the price continues ascending without offering short positions any profit, these positions become 'trapped shorts' and is shown as 'TS' in the zone. The opposite is true for 'trapped longs' or 'TL'.
A price range zone can be delineated from the trapped position candles. If prices revisit these zones, and the prevailing market trend stays bullish, the trapped shorts will probably liquidate near the break-even point to mitigate losses. The same rationale applies to bullish divergence in a downtrend. Therefore, these zone often times represents support / resistance zones.
█ Potential Use Cases
► Trend Confirmation: POD or MOB can confirm the strength of an ongoing trend. For example, during a bullish trend, a plethora of green bubbles or blue MOBs can affirm the trend's solidity.
► Spotting Reversals: Large, isolated POD or MOB bubbles could indicate potential market reversals. For instance, a prominent red bubble or yellow MOB during an uptrend might hint at an impending trend reversal.
► Risk Management: The Trapped Positions/Zones feature could assist in risk management. When prices approach these zones, traders can anticipate potential large market orders impacting price movements.
► Profit Optimization: This tool can aid traders in optimizing profits by identifying when trapped positions are likely to liquidate, thus predicting potential sharp price movements.
Remember, as with any tool, this should be used alongside other market analyses and not as a standalone indicator. Happy trading!
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█ Settings Overview
◊ Market - available options: NYSE, NASDAQ, Dow Jones, AMEX. This will be displayed
◊ Lookback period- # of bars to lookback for detecting price vs market order divergences
▼ Regular Hour - Price Order Divergence Bubbles
◊ Show Price Order Divergence (POD) Bubbles - toggle on/off for POD bubbles
◊ └ Use Market Order Sentiment only - Shows divergences between price movement and market order sentiment (amount of buying vs selling)
◊ └ Use Market Order Trend Bias - On top of market order sentiment, the indicator also looks at overall market short term trends to determine divergences
◊ └ Use Threshold Min. Threshold - For filtering order size, the lower the threshold, the more sensitive
◊ └ Use Volume Strength - Take volume into consideration as well, only shows divergence when there is strength in volume
▼ Extended Hour - Market Order Bubbles
◊ Show Market Order Bubbles - toggle on/off for MOB. Using volume data to estimate significant market order activities. Bubbles indicate possible large liquidation activities
◊ └ Volume Analysis period - lookback period for volume analysis
◊ └ Volume Strength period - lookback period for volume strength
▼ Trapped Position Zones
◊ Show Potential Traps - toggle on/off for un-activated trapped zones. They are shown as lightly shaded areas of potential traps. These areas will be activated once price hit the activation %
◊ Show Trapped positions (Regular Hours) - toggle on/off for POD trapped zones. By default, trapped shorts are shown in green, trapped tongs are shown in red.
◊ Show Trapped positions (Extended Hours) - toggle on/off for MOB bubbles. By default, trapped shorts are shown in blue, trapped tongs are shown in orange.
◊ └ Activation % - Trapped zones are activated if price goes x% of the potential trapped range in the undesirable direction. Default is 100%
◊ Liquidate display options - options: On first touch, Per touch, Fully liquidated
Trapped zones liquidate display options:
▼ Display
◊ General color settings for bubbles, trapped zones, and label size
◊ Use Emoji for bubbles - fun setting that displays bulls and bears by default. This helps really visualize where the bulls and bears are! 🤣🤣 These emoji can be changed in the style setting.
▼ Trapped Zone Channel
The trapped zone channel represents a continuous channel of the closest activated trapped zone area. This allows for creating alerts for trapped zones, and the plot outputs allows for custom Pinescript integration.
◊ Trapped Zone Channel Buffer % - Adds upper and lower buffer for trapped zone channel
◊ Show Trapped Channel - toggle on/off on trapped zone channels
◊ └ Remove channel changing lines - toggle on/off the transition plot lines when switching to the closest trapped zones
◊ Show Trapped Channel Fill - toogl
▼ Extra
◊ Display settings for chosen market and indicator title
▼ Trend Follower
◊ Show Trend Following Bar Color - toggle trend follower algorithm. This is an experimental trend following algorithm that attempts to detect bullish, neutral and bearish trends.
▼ Outputs
◊ Output Bubbles
Outputs for Bubbles for external interface. These can be used as inputs to your own indicator or strategy Pinescript. For more info, take a look at this TradingView blog:
www.tradingview.com
Bubble type can be chosen within the settings:
Both - Default, output will include both Market Price Order Divergence Bubbles (during Regular Hours) and Market Order Bubbles (during Extended Hours)
POD Only (RTH) - Output will include only Market Price Order Divergence Bubbles; otherwise, output = 0 during Extended Hours
MOB Only (ETH) - Output will include only Market Order Bubbles; otherwise, output = 0 during Regular Hours
Market Order Bubbles output values:
3 = Large size Bullish Bubble
2 = Medium size Bullish Bubble
1 = Small size Bullish Bubble
0 = No Bubble
-1 = Small size Bearish Bubble
-2 = Medium size Bearish Bubble
-3 = Large size Bearish Bubble
MTF Fusion - S/R Trendlines [TradingIndicators]MTF Fusion S/R Trendlines intelligently adapt to whatever timeframe you're trading - dynamically calculating support and resistance trendline levels combined from four appropriate higher timeframes to give you a much broader view of the market and an edge in your trading decisions.
These trendlines are not programmed to repaint - so you can use them in real-time just as they appeared historically.
What is MTF Fusion?
Multi-Timeframe (MTF) Fusion is the process of combining calculations from multiple timeframes higher than the chart's into one 'fused' value or indicator. It is based on the idea that integrating data from higher timeframes can help us to better identify short-term trading opportunities within the context of long-term market trends.
How does it work?
Let's use the context of this indicator, which calculates S/R Trendlines, as an example to explain how MTF Fusion works and how you can perform it yourself.
Step 1: Selecting Higher Timeframes
The first step is to determine the appropriate higher timeframes to use for the fusion calculation. These timeframes should typically be chosen based on their ability to provide meaningful price levels and action which actively affect the price action of the smaller timeframe you're focused on. For example, if you are trading the 5 minute chart, you might select the 15 minute, 30 minute, and hourly timeframe as the higher timeframes you want to fuse in order to give you a more holistic view of the trends and action affecting you on the 5 minute. In this indicator, four higher timeframes are automatically selected depending on the timeframe of the chart it is applied to.
Step 2: Gathering Data and Calculations
Once the higher timeframes are identified, the next step is to calculate the data from these higher timeframes that will be used to calculate your fused values. In this indicator, for example, the values of support and resistance trendlines are calculated for all four higher timeframes.
Step 3: Fusing the Values From Higher Timeframes
The next step is to actually combine the values from these higher timeframes to obtain your 'fused' indicator values. The simplest approach to this is to simply average them. If you have calculated the value of a support trendline from three higher timeframes, you can, for example, calculate your 'multi-timeframe fused trendline' as (HigherTF_Support_Trendline_1 + HigherTF_Support_Trendline_2 + HigherTF_Support_Trendline_3) / 3.0.
Step 4: Visualization and Interpretation
Once the calculations are complete, the resulting fused indicator values are plotted on the chart. These values reflect the fusion of data from the multiple higher timeframes, giving a broader perspective on the market's behavior and potentially valuable insights without the need to manually consider values from each higher timeframe yourself.
What makes this script unique? Why is it closed source?
While the process described above is fairly unique and sounds simple, the truly important key lies in determining which higher timeframes to fuse together, and how to weight their values when calculating the fused end result in such a way that best leverages their relationship for useful TA.
This MTF Fusion indicator employs a smart, adaptive algorithm which automatically selects appropriate higher timeframes to use in fusion calculations depending on the timeframe of the chart it is applied to. It also uses a dynamic algorithm to adjust and weight the lookbacks used for trendline calculations depending on each higher timeframe's relationship to the chart timeframe. These algorithms are based on extensive testing and are the reason behind this script's closed source status.
Included Features
Fusion Support and Resistance Trendlines
Dynamic Multi-Timeframe Trendlines
Breakaway Zone fills to highlight breakouts and breakdowns from the Fusion trendlines
Customizable lookback approach
Pre-built color stylings
Options
Fusion View: Show/hide the Fusion trendlines calculated from multiple higher timeframes
MTF View: Show/hide the trendlines from multiple higher timeframes used to calculate the Fusion trendlines
Breakaway Zones: Show/hide the fill for zones where price breaks away from the Fusion trendlines
Lookback: Select how you want your trendlines to be calculated (longer = long-term trendlines, shorter = short-term trendlines)
Pre-Built Color Styles: Use a pre-built color styling (uncheck to use your own colors)
Manual Color Styles: When pre-built color styles are disabled, use these color inputs to define your own
