Support and resistance levels (Day, Week, Month) + EMAs + SMAs(ENG): This Pine 5 script provides various tools for configuring and displaying different support and resistance levels, as well as moving averages (EMA and SMA) on charts. Using these tools is an essential strategy for determining entry and exit points in trades.
Support and Resistance Levels
Daily, weekly, and monthly support and resistance levels play a key role in analyzing price movements:
Daily levels: Represent prices where a cryptocurrency has tended to bounce within the current trading day.
Weekly levels: Reflect strong prices that hold throughout the week.
Monthly levels: Indicate the most significant levels that can influence price movement over the month.
When trading cryptocurrencies, traders use these levels to make decisions about entering or exiting positions. For example, if a cryptocurrency approaches a weekly resistance level and fails to break through it, this may signal a sell opportunity. If the price reaches a daily support level and starts to bounce up, it may indicate a potential long position.
Market context and trading volumes are also important when analyzing support and resistance levels. High volume near a level can confirm its significance and the likelihood of subsequent price movement. Traders often combine analysis across different time frames to get a more complete picture and improve the accuracy of their trading decisions.
Moving Averages
Moving averages (EMA and SMA) are another important tool in the technical analysis of cryptocurrencies:
EMA (Exponential Moving Average): Gives more weight to recent prices, allowing it to respond more quickly to price changes.
SMA (Simple Moving Average): Equally considers all prices over a given period.
Key types of moving averages used by traders:
EMA 50 and 200: Often used to identify trends. The crossing of the 50-day EMA with the 200-day EMA is called a "golden cross" (buy signal) or a "death cross" (sell signal).
SMA 50, 100, 150, and 200: These periods are often used to determine long-term trends and support/resistance levels. Similar to the EMA, the crossings of these averages can signal potential trend changes.
Settings Groups:
EMA Golden Cross & Death Cross: A setting to display the "golden cross" and "death cross" for the EMA.
EMA 50 & 200: A setting to display the 50-day and 200-day EMA.
Support and Resistance Levels: Includes settings for daily, weekly, and monthly levels.
SMA 50, 100, 150, 200: A setting to display the 50, 100, 150, and 200-day SMA.
SMA Golden Cross & Death Cross: A setting to display the "golden cross" and "death cross" for the SMA.
Components:
Enable/disable the display of support and resistance levels.
Show level labels.
Parameters for adjusting offset, display of EMA and SMA, and their time intervals.
Parameters for configuring EMA and SMA Golden Cross & Death Cross.
EMA Parameters:
Enable/disable the display of 50 and 200-day EMA.
Color and style settings for EMA.
Options to use bar gaps and the "LookAhead" function.
SMA Parameters:
Enable/disable the display of 50, 100, 150, and 200-day SMA.
Color and style settings for SMA.
Options to use bar gaps and the "LookAhead" function.
Effective use of support and resistance levels, as well as moving averages, requires an understanding of technical analysis, discipline, and the ability to adapt the strategy according to changing market conditions.
(RUS) Данный Pine 5 скрипт предоставляет разнообразные инструменты для настройки и отображения различных уровней поддержки и сопротивления, а также скользящих средних (EMA и SMA) на графиках. Использование этих инструментов является важной стратегией для определения точек входа и выхода из сделок.
Уровни поддержки и сопротивления
Дневные, недельные и месячные уровни поддержки и сопротивления играют ключевую роль в анализе движения цен:
Дневные уровни: Представляют собой цены, на которых криптовалюта имела тенденцию отскакивать в течение текущего торгового дня.
Недельные уровни: Отражают сильные цены, которые сохраняются в течение недели.
Месячные уровни: Указывают на наиболее значимые уровни, которые могут влиять на движение цены в течение месяца.
При торговле криптовалютами трейдеры используют эти уровни для принятия решений о входе в позицию или закрытии сделки. Например, если криптовалюта приближается к недельному уровню сопротивления и не удается его преодолеть, это может стать сигналом для продажи. Если цена достигает дневного уровня поддержки и начинает отскакивать вверх, это может указывать на возможность открытия длинной позиции.
Контекст рынка и объемы торговли также важны при анализе уровней поддержки и сопротивления. Высокий объем при приближении к уровню может подтвердить его значимость и вероятность последующего движения цены. Трейдеры часто комбинируют анализ различных временных рамок для получения более полной картины и улучшения точности своих торговых решений.
Скользящие средние
Скользящие средние (EMA и SMA) являются еще одним важным инструментом в техническом анализе криптовалют:
EMA (Exponential Moving Average): Экспоненциальная скользящая средняя, которая придает большее значение последним ценам. Это позволяет более быстро реагировать на изменения в ценах.
SMA (Simple Moving Average): Простая скользящая средняя, которая равномерно учитывает все цены в заданном периоде.
Основные виды скользящих средних, которые используются трейдерами:
EMA 50 и 200: Часто используются для выявления трендов. Пересечение 50-дневной EMA с 200-дневной EMA называется "золотым крестом" (сигнал на покупку) или "крестом смерти" (сигнал на продажу).
SMA 50, 100, 150 и 200: Эти периоды часто используются для определения долгосрочных трендов и уровней поддержки/сопротивления. Аналогично EMA, пересечения этих средних могут сигнализировать о возможных изменениях тренда.
Группы настроек:
EMA Golden Cross & Death Cross: Настройка для отображения "золотого креста" и "креста смерти" для EMA.
EMA 50 & 200: Настройка для отображения 50-дневной и 200-дневной EMA.
Уровни поддержки и сопротивления: Включает настройки для дневных, недельных и месячных уровней.
SMA 50, 100, 150, 200: Настройка для отображения 50, 100, 150 и 200-дневных SMA.
SMA Golden Cross & Death Cross: Настройка для отображения "золотого креста" и "креста смерти" для SMA.
Компоненты:
Включение/отключение отображения уровней поддержки и сопротивления.
Показ ярлыков уровней.
Параметры для настройки смещения, отображения EMA и SMA, а также их временных интервалов.
Параметры для настройки EMA и SMA Golden Cross & Death Cross.
Параметры EMA:
Включение/отключение отображения 50 и 200-дневных EMA.
Настройки цвета и стиля для EMA.
Опции для использования разрыва баров и функции "LookAhead".
Параметры SMA:
Включение/отключение отображения 50, 100, 150 и 200-дневных SMA.
Настройки цвета и стиля для SMA.
Опции для использования разрыва баров и функции "LookAhead".
Эффективное использование уровней поддержки и сопротивления, а также скользящих средних, требует понимания технического анализа, дисциплины и умения адаптировать стратегию в зависимости от изменяющихся условий рынка.
Wyszukaj w skryptach "Exponential Moving Average"
Moving Average Bands with Signals [UAlgo]The "Moving Average Bands with Signals combines various moving average types with ATR-based bands to help traders identify potential support and resistance levels.
It plots moving average bands with upper and lower support/resistance levels based on the Average True Range (ATR) and user-defined settings.Additionally, the script generates buy/sell signals based on price crossing above or below the bands.
🔶 Key Features
Multiple Moving Average Types:
Supports various moving average calculations including Arnaud Legoux Moving Average (ALMA), Exponential Moving Average (EMA), Double Exponential Moving Average (DEMA), Triple Exponential Moving Average (TEMA), Kaufman Adaptive Moving Average (KAMA), Hull Moving Average (HMA), Least Squares Moving Average (LSMA), Simple Moving Average (SMA), Triangular Moving Average (TMA), Volume-Weighted Moving Average (VWMA), Weighted Moving Average (WMA), and Zero-Lag Moving Average (ZLMA).
Customizable ATR Bands:
Integrates the Average True Range (ATR) to calculate dynamic support and resistance bands around the moving average. The multiplier for the bands is user-adjustable, allowing for finer control over the sensitivity and width of the bands.
Signal Generation:
Provides visual signals on the chart when the price interacts with the support or resistance bands. Users can choose between using the wick or the close price to generate these signals, adding an extra layer of customization based on their trading style.
Flexible Input Parameters:
Allows users to input parameters for moving average length, ATR length, band multiplier, and signal type. Additional settings are available for specific moving average types, such as ALMA's offset and sigma, KAMA's fast and slow periods, and LSMA's offset.
🔶 Disclaimer
This script is provided for educational purposes only and should not be considered financial advice.
Trading financial instruments involves substantial risk and can result in significant financial losses.
The script’s performance in the past is not indicative of future results, and no guarantees are made regarding its accuracy, reliability, or performance.
Support Resistance & Ema
The "Support Resistance & Ema" indicator combines various strategies to assist traders in identifying significant support and resistance levels on the chart and in following trends through exponential moving averages (EMA). This script is designed to be versatile and useful in different trading strategies.
Key Features:
Support and Resistance: It utilizes pivot highs and lows to pinpoint support and resistance levels. These levels are plotted on the chart with lines that change color based on trend reversals.
Trend Identification: The indicator follows trends using four conditions:
_hh: Higher highs and higher lows, indicating an uptrend.
_ll: Lower highs and lower lows, indicating a downtrend.
_hl: Higher highs and lower lows, indicating weakening uptrend or an impending reversal.
_lh: Lower highs and higher lows, indicating weakening downtrend or an impending reversal.
Exponential Moving Averages (EMA): It also displays various EMAs (9, 21, 50, 100, 200) on the chart to provide further insights into the trend direction.
Usage:
Support and Resistance: Support and resistance lines are automatically plotted on the chart. Trend reversals are highlighted by changing the color of the lines.
Trend Identification: The _hh, _ll, _hl, _lh conditions help identify trend changes. When one of these conditions is met, it indicates a particular configuration of highs and lows that might suggest a trading opportunity.
Exponential Moving Averages (EMA): The EMAs are plotted on the chart and can be used to confirm trends identified by the main indicator.
To use this script, you need to add it as an indicator to your trading chart. Once applied, the support, resistance lines, and EMAs will be visible on the chart, providing traders with valuable information to make informed trading decisions.
In summary, this script offers a comprehensive way to identify significant support and resistance levels, spot market trends, and confirm those trends through the use of exponential moving averages.
MFI- Momentum Fusion IndicatorIndicator Overview
The "MFI - Momentum Fusion Indicator" is a comprehensive trading tool designed for TradingView that combines several technical analysis methods to assist traders in identifying potential buy and sell opportunities in financial markets.
Key Components
Moving Averages (MA): Uses two Simple Moving Averages (SMA) with periods defined by the user (default 10 and 20). The indicator generates buy signals when the shorter MA (MA 10) crosses above the longer MA (MA 20) and sell signals when it crosses below, helping to pinpoint trend reversals.
Relative Strength Index (RSI): A momentum oscillator that helps identify overbought or oversold conditions, adding a layer of confirmation to the signals generated by the moving averages.
Exponential Moving Average (EMA 50): Used to gauge the medium-term trend direction. The color of the EMA line changes based on whether the trend is up (green) or down (red), providing a visual representation of the market trend.
Average True Range (ATR): This component measures market volatility. Signals are only generated when the ATR confirms significant market movement relative to the EMA50, enhancing the reliability of the signals during volatile conditions.
How It Works
Signal Generation: The core of the indicator is based on the crossover of two SMAs. A buy signal is issued when the short-term MA crosses above the long-term MA during sufficient market volatility (confirmed by ATR). Conversely, a sell signal is triggered when the short-term MA crosses below the long-term MA under similar conditions.
Trend Confirmation: The EMA50 helps confirm the broader market trend, while the ATR ensures that the crossover signals occur during periods of meaningful price movement, filtering out noise and less significant price movements.
Use Case
For Traders: The indicator is ideal for traders who need clear, actionable signals combined with an assessment of market conditions. It’s particularly useful in markets where understanding volatility and momentum is crucial, such as in cryptocurrencies and forex.
Benefits
Comprehensive Analysis: Combines trend, momentum, and volatility analysis in one tool, providing a multifaceted approach to the markets.
Enhanced Decision-Making: By integrating multiple indicators, it reduces the likelihood of false signals and enhances decision-making confidence.
Customizable and Dynamic: Allows for easy adjustment of parameters to fit different trading styles and market conditions.
This indicator equips traders with a powerful blend of tools to analyze price movements and make informed trading decisions based on a combination of trend, momentum, and volatility insights.
DEMA Adjusted Average True Range [BackQuant]The use of the Double Exponential Moving Average (DEMA) within your Adjusted Average True Range (ATR) calculation serves as a cornerstone for enhancing the indicator's responsiveness to market changes. To delve deeper into why DEMA is employed specifically in the context of your ATR calculation, let's explore the inherent qualities of DEMA and its impact on the ATR's performance.
DEMA and Its Advantages
As previously mentioned, DEMA was designed to offer a more responsive alternative to the traditional Exponential Moving Average (EMA). By giving more weight to recent price data, DEMA reduces the lag typically associated with moving averages. This reduction in lag is especially beneficial for short-term traders looking to capitalize on trend reversals and other market movements as swiftly as possible.
The calculation of DEMA involves the following steps:
Calculate EMA1: This is the Exponential Moving Average of the price.
Calculate EMA2: This is the Exponential Moving Average of EMA1, thus it is a smoothing of a smoothing, leading to a greater lag.
Formulate DEMA: The formula
EMA1 = EMA of price
EMA2 = EMA of EMA1
DEMA = (2 x EMA1) - EMA2
effectively doubles the weighting of the most recent data points by subtracting the lagged, double-smoothed EMA2 from twice the single-smoothed EMA1.
This process enhances the moving average's sensitivity to recent price movements, allowing the DEMA to adhere more closely to the price bars than either EMA1 or EMA2 alone.
Integration with ATR
In the context of your ATR calculation, the integration of DEMA plays a crucial role in defining the indicator's core functionality. Here's a detailed explanation of how DEMA affects the ATR calculation:
Initial Determination of DEMA : By applying the DEMA formula to the chosen source data (which can be adjusted to use Heikin Ashi candle close prices for an even smoother analysis), you set a foundation for a more reactive trend-following mechanism within the ATR framework.
Application to ATR Bands : The calculated DEMA serves as the central line from which the ATR bands are derived. The ATR value, multiplied by a user-defined factor, is added to and subtracted from the DEMA to form the upper and lower bands, respectively. This dynamic adjustment not only reflects the volatility based on the ATR but does so in a way that is closely aligned with the most recent price action, thanks to the utilization of DEMA.
Enhanced Signal Quality : The responsiveness of DEMA ensures that the ATR bands adjust more promptly to changes in market conditions. This quality is vital for traders who rely on the ATR bands to identify potential entry and exit points, trend reversals, or to assess market volatility.
By employing DEMA as the core component in calculating the Adjusted Average True Range, your indicator leverages DEMA's reduced lag and increased weight on recent data to provide a more timely and accurate measure of market volatility. This innovative approach enhances the utility of the ATR by making it not only a tool for assessing volatility but also a more reactive indicator for trend analysis and trading signal generation.
The main concept of combining these is to reduce lag, get a more robust signal and still capture clear trends over medium time horizons.
For me, this is best used in confluence with other indicators, it can be made faster in order to get fasters response time, or slower. This is all depending on the needs of you as a trader.
User Inputs:
The script offers several user-configurable inputs, such as the period lengths for DEMA and ATR calculations, the multiplication factor for the ATR, and options to use Heikin Ashi candles or standard price data. Additionally, it allows for the toggling of visual features, like the plotting of the DEMA ATR and its moving average, and the application of color-coded trends on price bars.
Additional Features:
Moving Average Confluence: Traders can opt to display a moving average of the DEMA ATR, choosing from various types (e.g., SMA, EMA, HMA). This feature provides a layer of confluence, aiding in the identification of trend direction and strength.
Trend Identification :
The script employs logical conditions to ascertain the trend direction based on the movement of the DEMA ATR. It assigns colors to represent bullish or bearish trends, which are reflected in the plotted lines and the coloring of price bars.
Alerts :
Customizable alert conditions for trend reversals enhance the utility of the indicator for active trading, notifying users of significant changes in trend direction.
1D Backtests
We include these backtests as a general proxy for how they work.
Please do your own calibrating to suit it to your own needs and backtest.
Past results don't = future results but they can help you understand how it functions.
INDEX:BTCUSD
INDEX:ETHUSD
BINANCE:SOLUSD
MACD Bands - Multi Timeframe [TradeMaster Lite]We present a customizable MACD indicator, with the following features:
Multi-timeframe
Deviation bands to spot unusual volatility
9 Moving Average types
Conditional coloring and line crossings
👉 What is MACD?
MACD is a classic, trend-following indicator that uses moving averages to identify changes in momentum. It can be used to identify trend changes, overbought and oversold conditions, and potential reversals.
👉 Multi-timeframe:
This feature allows to analyze the same market data on multiple time frames, which can be in help to identify trends and patterns that would not be visible on a single time frame. When using the multi-timeframe feature, it is important to start with the higher time frame and then look for confirmation on the lower time frames. This will help you to avoid false signals. Please note that only timeframes higher than the chart timeframe is supported currently with this feature enabled. Might get updated in the future.
👉 Deviation bands to spot unusual volatility:
Deviation bands are plotted around the Signal line that can be in help to identify periods of unusual volatility. When the MACD line crosses outside of the deviation bands, it suggests that the market is becoming more volatile and a strong trend may form in that direction.
👉 9 Moving Average types can be used in the script. Each type of moving average offers a unique perspective and can be used in different scenarios to identify market trends.
SMA (Simple Moving Average): This calculates the average of a selected range of values, by the number of periods in that range.
SMMA (Smoothed Moving Average): This takes into account all data available and assigns equal weighting to the values.
EMA (Exponential Moving Average): This places a greater weight and significance on the most recent data points.
DEMA (Double Exponential Moving Average): This is a faster-moving average that uses a proprietary calculation to reduce the lag in data points.
TEMA (Triple Exponential Moving Average): This is even quicker than the DEMA, helping traders respond more quickly to changes in trend.
LSMA (Least Squares Moving Average): This moving average applies least squares regression method to determine the future direction of the trend.
HMA (Hull Moving Average): This moving average is designed to reduce lag and improve smoothness, providing quicker signals for short-term market movements.
VWMA (Volume Weighted Moving Average): This assigns more weight to candles with a high volume, reflecting the true average values more accurately in high volume periods.
WMA (Weighted Moving Average): This assigns more weight to the latest data, but not as much as the EMA.
👉 Conditional coloring :
This feature colors the MACD line line based on it's direction and fills the area between the MACD line and Deviation band edges to highlight the potential volatility and the strength of the momentum. This can be useful to identify when the market is trending strongly and when it is in a more neutral or choppy state.
👉 MACD Line - Signal Line crossings:
This is a classic MACD trading signal that occurs when the MACD line crosses above or below the signal line. Crossovers can be used to identify potential trend reversals. This can be a bullish or bearish signal, depending on the direction of the crossover.
👉 General advice
Confirming Signals with other indicators:
As with all technical indicators, it is important to confirm potential signals with other analytical tools, such as support and resistance levels, as well as indicators like RSI, MACD, and volume. This helps increase the probability of a successful trade.
Use proper risk management:
When using this or any other indicator, it is crucial to have proper risk management in place. Consider implementing stop-loss levels and thoughtful position sizing.
Combining with other technical indicators:
The indicator can be effectively used alongside other technical indicators to create a comprehensive trading strategy and provide additional confirmation.
Keep in Mind:
Thorough research and backtesting are essential before making any trading decisions. Furthermore, it's crucial to have a solid understanding of the indicator and its behavior. Additionally, incorporating fundamental analysis and considering market sentiment can be vital factors to take into account in your trading approach.
Limitations:
This is a lagging indicator. Please note that the indicator is using moving averages, which are lagging indicators.
The indicators within the TradeMaster Lite package aim for simplicity and efficiency, while retaining their original purpose and value. Some settings, functions or visuals may be simpler than expected.
⭐ Conclusion
We hold the view that the true path to success is the synergy between the trader and the tool, contrary to the common belief that the tool itself is the sole determinant of profitability. The actual scenario is more nuanced than such an oversimplification. Our aim is to offer useful features that meet the needs of the 21st century and that we actually use.
🛑 Risk Notice:
Everything provided by trademasterindicator – from scripts, tools, and articles to educational materials – is intended solely for educational and informational purposes. Past performance does not assure future returns.
Dominant Period-Based Moving Average (DPBMA)Exploit Market Cycles with the Dominant Period-Based Moving Average Indicator
Introduction:
In the world of trading, market cycles play a crucial role in determining the rhythm of the market. These cycles often consist of recurring patterns that traders can exploit to maximize their profits. One effective way to capitalize on these cycles is by using a moving average (MA) indicator. Today, we are going to introduce you to a unique indicator that takes the most frequent dominant period of the market and uses it as the length of the moving average. This indicator is designed to adapt to the ever-changing market conditions, providing traders with a dynamic tool to better analyze the market.
Dominant Period-Based Moving Average Indicator Overview:
The Dominant Period-Based Moving Average (DPBMA) Indicator is a custom indicator designed to find the most frequent dominant period of the market and use that period as the length of the moving average. This innovative approach allows the indicator to adapt to the market cycles, making it more responsive to the market's changing conditions.
Here's a quick overview of the DPBMA Indicator's features:
Takes the most frequent dominant period of the market.
Uses the dominant period as the length of the moving average.
Adapts to the changing market cycles.
Works as an overlay on your price chart.
Using the Dominant Period-Based Moving Average Indicator:
How the Dominant Period-Based Moving Average Indicator Works:
The DPBMA Indicator works by first importing the DominantCycle function from the lastguru/DominantCycle/2 script. This function calculates the dominant cycle period of the given market data. The DPBMA Indicator then calculates the Exponential Moving Average (EMA) using the dominant period as the length parameter.
The EMA calculation uses an alpha factor, which is calculated as 2 / (length + 1). The alpha factor is then used to smooth the source data (closing prices) and calculate the adaptive moving average.
The DPBMA Indicator also includes a harmonic input, which allows you to multiply the dominant cycle period by an integer value. This can help you fine-tune the indicator to better fit your trading strategy or style.
The Raw Dominant Frequency:
The raw dominant frequency represents the primary cycle period present in the given market data. By identifying the raw dominant frequency, traders can gain insights into the market's current cycle and use this information to make informed trading decisions. The raw dominant frequency can be useful for detecting major trend reversals, support and resistance levels, and potential entry and exit points.
However, using the raw dominant frequency alone has its limitations. For instance, it may not always provide a clear picture of the market's prevailing trend, especially during periods of high market volatility. Additionally, relying solely on the raw dominant frequency may not capture the nuances of shorter-term cycles that can also impact price movements.
The Most Likely Dominant Frequency:
Our approach takes a different angle by focusing on the most likely dominant frequency. This method aims to identify the frequency with the highest probability of being the dominant frequency in the market data. The idea behind this approach is to filter out potential noise and improve the accuracy of the dominant frequency analysis. By using the most likely dominant frequency, traders can gain a more reliable understanding of the market's primary cycle, which can lead to better trading decisions.
In our Dominant Period-Based Moving Average Indicator, we calculate the most likely dominant frequency by analyzing an array of cycle periods and their occurrences in the given market data. We then determine the cycle period with the highest occurrence, representing the most likely dominant frequency. This method allows the indicator to be more adaptive and responsive to the changing market conditions, capturing the nuances of both long-term and short-term cycles.
Why Not the Average Dominant Frequency?
While using the average dominant frequency might seem like a reasonable approach, it can be less effective in accurately capturing the market's primary cycle. Averaging the dominant frequencies may dilute the impact of the true dominant frequency, resulting in a less accurate representation of the market's current cycle. By focusing on the most likely dominant frequency, our approach provides a more accurate and reliable analysis of the market's primary cycle, which can ultimately lead to more effective trading decisions.
Conclusion:
The Dominant Period-Based Moving Average Indicator, enhanced with the most likely dominant frequency approach, offers traders a powerful tool for exploiting market cycles. By adapting to the most frequent dominant period and focusing on the most likely dominant frequency, this indicator provides a more accurate and reliable analysis of the market's primary cycle. As a result, traders can make better-informed decisions, ultimately leading to improved trading performance. Incorporate the DPBMA Indicator into your trading toolbox today, and take advantage of the enhanced market analysis it provides.
MACD Chebyshev (CMACD)Introducing the Advanced MACD Chebyshev Indicator
Enhanced Convergence Divergence with Gate Compressor for Improved Trading Signals
Introduction
We are excited to introduce a new, advanced Moving Average Convergence Divergence (MACD) indicator that we've developed, called the MACD Chebyshev (CMACD). This innovative indicator uses the dominant period to determine the frequency of the band pass and employs a delayed version of the signal for better convergence divergence. To further enhance the quality of the signals, we've incorporated a gate compressor in the histogram. In this blog post, we will provide an extensive overview of the CMACD indicator, detailing its features and explaining how it works.
The MACD Chebyshev Indicator
The CMACD indicator is based on the well-known MACD indicator, which is a popular technical analysis tool for identifying potential trend reversals in financial markets. The MACD indicator calculates the difference between two Exponential Moving Averages (EMAs) and plots a histogram to represent the convergence and divergence between these EMAs. The CMACD indicator builds on this concept by using the Chebyshev Type I and Type II Moving Averages, which offer superior smoothing and reduced lag compared to traditional EMAs.
The main components of the CMACD indicator are:
1. Signal Line (Blue Line)
2. Delay Line (Orange Line)
3. Histogram (Green and Red bars)
4. Zero Line (Gray Line)
The indicator calculates the difference between the two Chebyshev Moving Averages and plots the histogram based on this difference. The histogram bars change color depending on whether they are above or below the zero line and whether they are growing or falling.
Custom Functions and Features
The CMACD indicator includes several custom functions and features that set it apart from the standard MACD indicator:
1. Dominant Period: The CMACD indicator uses the dominant period to determine the frequency of the band pass. This ensures that the indicator is more responsive to the current market conditions, as it adapts to the dominant cycle in the price data.
2. Delayed Signal: The CMACD indicator employs a delayed version of the signal to provide better convergence divergence. This helps to reduce false signals and improve the accuracy of the indicator.
3. Ripple: The Ripple parameter allows users to adjust the smoothing factor of the Chebyshev Moving Averages. This can be customized to suit individual trading preferences and strategies.
4. Gate Compressor: The CMACD indicator incorporates a gate compressor in the histogram. This unique feature allows users to specify a Percent Rank for the gate signal level, a Gate Ratio, and a Knee Type (either "hard" or "soft"). The gate compressor works by reducing the amplitude of the histogram bars when their absolute value is below the specified threshold. This helps to filter out noise and improve the clarity of the signals generated by the indicator.
Color Scheme
The CMACD indicator features an intuitive color scheme for easy interpretation of the histogram:
1. Green Bars (Above Zero Line): The histogram bars are green when they are above the zero line. The darker green color indicates a growing bar, while the lighter green color represents a falling bar.
2. Red Bars (Below Zero Line): The histogram bars are red when they are below the zero line. The darker red color indicates a growing bar, while the lighter red color represents a falling bar.
Conclusion
The MACD Chebyshev (CMACD) indicator is an innovative and powerful tool for technical analysis, offering superior performance compared to the standard MACD indicator. With its advanced features, such as the dominant period, delayed signal, ripple adjustment, and gate compressor, the CMACD indicator provides more accurate and reliable trading signals. Incorporate the CMACD indicator into your trading strategy today and experience the enhanced convergence divergence for better trading decisions.
TRIX with Momentum----------- ENGLISH --------------
This indicator is called "TRIX with Momentum" and is used to analyze the momentum of an asset's price and predict potential trend reversals. The logic of operation is based on the combination of two indicators: the Triple Exponential Moving Average (TRIX) and the momentum oscillator.
The TRIX is calculated using three exponential moving averages (EMA) of the asset's closing price, with a user-defined length (set to 14 by default). The TRIX is then normalized and centered around 0 to facilitate analysis of its relationship with the momentum oscillator.
The momentum oscillator is calculated using the EMA of the normalized TRIX with a user-defined length (set to 14 by default).
The indicator plots the normalized TRIX and the momentum oscillator on a chart, using different colors to indicate whether the TRIX is above or below 0. Additionally, the color of the y-axis label changes based on the position of the oscillator, while the color of the x-axis label remains gray.
The indicator uses a weighted average between the normalized TRIX and the momentum oscillator to create a colored background of the chart, which changes based on the weighted average. If the weighted average is positive, the chart's background is green, otherwise it is red. Finally, a horizontal line is drawn at point 0 to facilitate visual analysis of the chart.
------------ ITALIANO -------------
Questo indicatore è chiamato "TRIX with Momentum" ed è utilizzato per analizzare il momentum del prezzo di un asset e prevedere eventuali inversioni di trend. La logica di funzionamento è basata sulla combinazione di due indicatori: il TRIX (Indicatori di media mobile Tripla Esponenziale) e l'oscillatore momentum.
L'indicatore consente all'utente di impostare la lunghezza del TRIX e dell'oscillatore momentum come input personalizzato. Il TRIX viene calcolato utilizzando tre medie mobili esponenziali (EMA) della chiusura dei prezzi dell'asset, mentre l'oscillatore momentum viene calcolato utilizzando l'EMA del TRIX normalizzato.
Il TRIX normalizzato viene centrato intorno allo 0 per facilitare l'analisi della sua relazione con l'oscillatore momentum. L'indicatore plotta il TRIX normalizzato e l'oscillatore momentum su un grafico, utilizzando diversi colori per indicare se il TRIX è sopra o sotto lo 0.
L'indicatore utilizza una media pesata tra il TRIX normalizzato e l'oscillatore momentum per creare uno sfondo colorato del grafico, che cambia in base alla media pesata. L'utente può impostare il peso da dare al TRIX e all'oscillatore momentum come input personalizzato, e il peso dell'oscillatore momentum verrà automaticamente impostato come complementare al peso del TRIX.
Se la media pesata è positiva, lo sfondo del grafico è verde, altrimenti è rosso. Viene tracciata anche una linea orizzontale al punto 0 per facilitare l'analisi visiva del grafico.
Infine, il colore dell'etichetta dell'asse y cambia in base alla posizione dell'oscillatore, mentre il colore dell'etichetta dell'asse x rimane sempre grigio.
UB Profit Signal IndicatorThe UB Profit Signal indicator is a technical analysis tool designed to identify potential buy and sell signals in the market. The indicator is based on four technical indicators - Moving Average Convergence Divergence (MACD), Relative Strength Index (RSI), Bollinger Bands (BB), and volume moving average.
The script starts by defining input variables such as MACD Fast Length, MACD Slow Length, MACD Signal Length, RSI Length, etc. These variables are used to customize the indicator based on the user's preference.
The MACD is calculated using the ta.macd function, which returns three variables: the MACD Line, Signal Line, and Histogram. The MACD line is calculated as the difference between two exponential moving averages of the price. The signal line is a moving average of the MACD line. The histogram shows the difference between the MACD line and the signal line.
The RSI is calculated using the ta.rsi function, which calculates the RSI value based on the number of periods specified in the RSI Length input variable. The RSI is a momentum oscillator that measures the speed and change of price movements.
The Bollinger Bands are calculated using the ta.sma and ta.stdev functions. The Simple Moving Average (SMA) is calculated using the close price over 21 periods, while the Standard Deviation is calculated using the close price over the same 21 periods. The upper and lower bands are then calculated based on the SMA and Standard Deviation.
Finally, the buy and sell signals are generated based on specific conditions that combine the MACD, RSI, and BB values. For example, a buy signal is generated when the RSI value is greater than 30, the volume is greater than the volume moving average, the close price is greater than the 9-period SMA, and the close price is between the upper and lower BBs. Similarly, a sell signal is generated when the RSI value is less than 40, the volume is greater than the volume moving average, the close price is less than the 9-period SMA, and the close price is between the upper and lower BBs.
The buy and sell signals are plotted on the chart using the plotshape function, which creates triangular shapes above and below the bars to indicate the signals. Green triangles indicate a buy signal, while red triangles indicate a sell signal. Overall, the UB Profit Signal indicator can be useful for traders looking to identify potential buy and sell signals in the market and take advantage of price movements.
ATR PivotsThe "ATR Pivots" script is a technical analysis tool designed to help traders identify key levels of support and resistance on a chart. The indicator uses various metrics such as the Average True Range (ATR), Daily True Range ( DTR ), Daily True Range Percentage (DTR%), Average Daily Range (ADR), Previous Day High ( PDH ), and Previous Day Low ( PDL ) to provide a comprehensive picture of the volatility and movement of a security. The script also includes an EMA cloud and 200 EMA for trend identification and a 1-minute ATR scalping strategy for traders to make informed trading decisions.
ATR Detail:-
The ATR is a measure of the volatility of a security over a given period of time. It is calculated by taking the average of the true range (the difference between the high and low of a security) over a set number of periods. The user can input the number of periods (ATR length) to be used for the ATR calculation. The script also allows the user to choose whether to use the current close or not for the calculation. The script calculates various levels of support and resistance based on the relationship between the security's range ( high-low ) and the ATR. The levels are calculated by multiplying the ATR by different Fibonacci ratios (0.236, 0.382, 0.5, 0.618, 0.786, 1.000) and then adding or subtracting the result from the previous close. The script plots these levels on the chart, with the -100 level being the most significant level. The user also has an option to choose whether to plot all Fibonacci levels or not.
DTR and DTR% Detail:-
The Daily True Range Percentage (DTR%) is a metric that measures the daily volatility of a security as a percentage of its previous close. It is calculated by dividing the Daily True Range ( DTR ) by the previous close. DTR is the range between the current period's high and low and gives a measure of the volatility of the security on a daily basis. DTR% can be used as an indicator of the percentage of movement of the security on a daily basis. In this script, DTR% is used in combination with other metrics such as the Average True Range (ATR) and Fibonacci ratios to calculate key levels of support and resistance for the security. The idea behind using DTR% is that it can help traders to better understand the daily volatility of the security and make more informed trading decisions.
For example, if a security has a DTR% of 2%, it suggests that the security has a relatively low level of volatility and is less likely to experience significant price movements on a daily basis. On the other hand, if a security has a DTR% of 10%, it suggests that the security has a relatively high level of volatility and is more likely to experience significant price movements on a daily basis.
ADR:-
The script then calculates the ADR (Average Daily Range) which is the average of the daily range of the security, using the formula (Period High - Period Low) / ATR Length. This gives a measure of the average volatility of the security on a daily basis, which can be useful for determining potential levels of support and resistance .
PDH /PDL:-
The script also calculates PDH (Previous Day High) and PDL (Previous Day Low) which are the High and low of the previous day of the security. This gives a measure of the previous day's volatility and movement, which can be useful for determining potential levels of support and resistance .
EMA Cloud and 200 EMA Detail:-
The EMA cloud is a technical analysis tool that helps traders identify the trend of the market by comparing two different exponential moving averages (EMAs) of different lengths. The cloud is created by plotting the fast EMA and the slow EMA on the chart and filling the space between them. The user can input the length of the fast and slow EMA , and the script will calculate and plot these EMAs on the chart. The space between the two EMAs is then filled with a color that represents the trend, with green indicating a bullish trend and red indicating a bearish trend . Additionally, the script also plots a 200 EMA , which is a commonly used long-term trend indicator. When the fast EMA is above the slow EMA and the 200 EMA , it is considered a bullish signal, indicating an uptrend. When the fast EMA is below the slow EMA and the 200 EMA , it is considered a bearish signal, indicating a downtrend. The EMA cloud and 200 EMA can be used together to help traders identify the overall trend of the market and make more informed trading decisions.
1 Minute ATR Scalping Strategy:-
The script also includes a 1-minute ATR scalping strategy that can be used by traders looking for quick profits in the market. The strategy involves using the ATR levels calculated by the script as well as the EMA cloud and 200 EMA to identify potential buy and sell opportunities. For example, if the 1-minute ATR is above 11 in NIFTY and the EMA cloud is bullish , the strategy suggests buying the security. Similarly, if the 1-minute ATR is above 30 in BANKNIFTY and the EMA cloud is bullish , the strategy suggests buying the security.
Inside Candle:-
The Inside Candle is a price action pattern that occurs when the current candle's high and low are entirely within the range of the previous candle's high and low. This pattern indicates indecision or consolidation in the market and can be a potential sign of a trend reversal. When used in the 15-minute chart, traders can look for Inside Candle patterns that occur at key levels of support or resistance. If the Inside Candle pattern occurs at a key level and the price subsequently breaks out of the range of the Inside Candle, it can be a signal to enter a trade in the direction of the breakout. Traders can also use the Inside Candle pattern to trade in a tight range, or to reduce their exposure to a current trend.
Risk Management:-
As with any trading strategy, it is important to practice proper risk management when using the ATR Pivots script and the 1-minute ATR scalping strategy. This may include setting stop-loss orders, using appropriate position sizing, and diversifying your portfolio. It is also important to note that past performance is not indicative of future results and that the script and strategy provided are for educational purposes only.
In conclusion, the "ATR Pivots" script is a powerful tool that can help traders identify key levels of support and resistance , as well as trend direction. The additional metrics such as DTR , DTR%, ADR, PDH , and PDL provide a more comprehensive picture of the volatility and movement of the security, making it easier for traders to make better trading decisions. The inclusion of the EMA cloud and 200 EMA for trend identification, and the 1-minute ATR scalping strategy for quick profits can further enhance a trader's decision-making process. However, it is important to practice proper risk management and understand that past performance is not indicative of future results.
Special thanks to satymahajan for the idea of clubbing Average True Range with Fibonacci levels.
Volume Weighted Hull Moving Average Bollinger Bands (VWHBB)Title: "Volume Weighted Hull Moving Average Bollinger Bands Indicator for TradingView"
Abstract: This script presents a TradingView indicator that displays Bollinger Bands based on the volume weighted Hull Moving Average (VEHMA) of a financial asset. The VEHMA is a technical analysis tool that combines the reduced lag of the Hull Moving Average (HMA) with volume weighting to provide a more sensitive indicator of market trends and dynamics. The Bollinger Bands are a volatility indicator that plot upper and lower bands around a moving average, which can help traders identify potential trend changes and overbought or oversold conditions. The script allows the user to customize the VEHMA length and Bollinger Band deviation parameters.
Introduction: Bollinger Bands are a popular technical analysis tool used to identify potential trend changes and overbought or oversold conditions in the market. They are constructed by plotting upper and lower bands around a moving average, with the width of the bands determined by the volatility of the asset. The VEHMA is a variant of the Hull Moving Average (HMA) that combines the reduced lag of the HMA with volume weighting to provide a more sensitive indicator of market trends and dynamics.
Methodology: The VEHMA is calculated using a weighted average of two exponential moving averages (EMAs), with the weighting based on the volume of the asset and the length of the moving average. The Bollinger Bands are calculated by plotting the VEHMA plus and minus a standard deviation of the asset's price over a specified period. The standard deviation is a measure of the volatility of the asset and helps to adjust the width of the bands based on market conditions.
Implementation: The script is implemented in TradingView's PineScript language and can be easily added to any chart on the platform. The user can customize the VEHMA length and Bollinger Band deviation parameters to suit their trading strategy. The VEHMA, Bollinger Bands, and fill colors are plotted on the chart to provide a visual representation of the indicator.
Conclusion: The VEHMA Bollinger Bands indicator is a useful tool for traders looking to identify potential trend changes and overbought or oversold conditions in the market. This script provides a convenient and customizable implementation of the indicator for use in TradingView.
2 MA Ratio Can Help with Moving AveragesMany technical analysts use moving average crosses to assess trend changes. A faster-moving MA crossing above a slower-moving line may be viewed as a bullish signal. The opposite can apply to the downside.
While these methods may help analyze price direction, they can often force traders to wait until the cross occurs. Sometimes it may be useful to anticipate the event – or at least know it’s getting close.
That’s where the custom script 2 MA Ratio can be useful because it tracks the fast and slow moving averages. The fast MA is then shown as a percent of the slow MA. Positive readings indicate a bullish condition and vice versa for the negative.
It’s also color-coded to clearly illustrate when the crosses occur.
2 MA Ratio can handle simple moving averages (SMAs) and exponential moving averages (EMAs). It even lets you compare SMAs to EMAs. Users can choose between using open, high, low or closing prices as the inputs. (It defaults to Close.)
The chart above shows the short-term pair of the 8- and 21-day EMAs on Tesla (TSLA). The second chart below shows the same stock with the slower 50- and 200-day SMAs. Notice the “Golden Cross” last summer and the “Death Cross” in May:
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MTF MACD (PPO) [TANHEF]Mult-Timeframe Moving Average Convergence Divergence (MACD) and Percentage Price Oscillator (PPO) indicator that allows for viewing of 1 to 5 different Timeframes.
Brief Summary
The primary benefit of multi-timeframe indicators is getting better entries and confirmation from viewing multiple time frames at once, which can often get overlooked.
MACD shouldn't be only used by itself, it is a lot more consistent when applied in the same direction as the trend as well as multiple other things including support, resistance, and volume improve the outcomes of the MACD results.
Personally, I look for good entries on higher and lower time frames (multiple timeframes must agree with the buying or selling). For example, if a higher timeframe looks like a good long entry (MACD line is crossing up and below the zero line), then the lower timeframes should be checked to ensure they are not oversold or overextended (the MACD line must be low or below the zero), once the lower and higher timeframes are in agreeance an entry can be made.
What is Moving Average Convergence Divergence (MACD)?
Moving average convergence divergence (MACD) is a trend-following momentum indicator that shows the relationship between two moving averages of the price. The MACD is calculated by subtracting the 26-period exponential moving average (EMA) from the 12-period EMA.
What is the Percentage Price Oscillator (PPO)?
The PPO is identical to the MACD indicator, except the PPO measures percentage difference between two EMAs, while the MACD measures absolute (or dollar) difference. The PPO has the advantage of being comparable to other assets with different prices, whereas MACD readings are not comparable. For example, regardless of the asset's price, a PPO result of 10 means the short-term average is 10% above the long-term average.
A signal line can be displayed on Timeframe, including:
- MACD & Signal Line crosses (Green when MACD above Signal Line and Red when MACD below Signal Line)
- Histogram Direction (fast and slow EMA gap)
- SuperTrend for identifying trend direction (green for uptrend, red for downtrend)
- EMA Trend for identifying trend direction (above EMA = up trend and green, below EMA = down trend and red)
Cross Dots and Potential cross dots
- Green Dot, is displayed when the MACD crosses the Signal Line
- Red Dot, is displayed when the MACD crosses the Signal Line
- Yellow Dot. Potential cross up (green dot) on next bar. Displayed when if the same distance a MACD moves on a bar is applied to the next bar will cause a MACD and Signal Line Cross. This is calculated by checking if the value change of one bar is added to the current MACD value would lead to a cross on the next bar, the it is a potential up dot.
- Purple Dot. Potential cross down (red dot) on next bar. Displayed when if the same distance a MACD moves on a bar is applied to the next bar will cause a MACD and Signal Line Cross. This is calculated by checking if the value change of one bar is added to the current MACD value would lead to a cross on the next bar, the it is a potential down dot.
Best Fit Settings
- Can be applied to the MACD, Signal Line, and Histogram to re-scale (stretch) to fit them within the space of the +2 and -2 range that each timeframe is provided on this indicator.
- The lookback distance value is used to lookback a certain distance to ensure everything scaled to fit well.
Labels are displayed on the right of the indicators, including:
- a label identifying 'line indicator' is currently being displayed
- the Timeframe corresponding to each MACD or PPO indicator
- the MACD or PPO of each Timeframe
Moving Averages Different Type & SourceThis is a indicator to plot moving averages. User has the option to choose whether to plot SMA (simple moving average) or EMA (exponential moving average). Length of the averages also can be changed by user. The main feature also is use of different source for different length of MAs. Like you can plot 9SMA High with 20EMA Close etc. So, you can plot different types of combinations with type of MA (sma and ema) and Source type (high, low, open, close etc.).
A table also added in the right top to show the values of MA in selected timeframe. The red color indicate current price is below that ma and green color indicate current price is above that ma. Same feature added in plot of ma line by checking toggle color feature option on. It will show green color ma when price is above it and red color ma lines when price is below it.
EMA Multi CrossThis is just a very simple EMA indicator that shows the 20, 50, 100, and 200 Exponential Moving Averages and plots some shapes when the lines cross from the 20 & 50, the 50 & 200, and the 100 & 200.
I know there are many EMA indicators out there, but I couldn't find one that let me edit the colors, values, and toggle the crossings. Maybe some of you will find usefulness in having some of these extra options too.
I use this occasionally on the Bitcoin 1 hour charts to see how the long-term trend is going.
Here are some ways to read EMA lines:
Slope: A rising moving average generally reflects a rising trend, while a falling moving average points to a falling trend.
Crosses: Seeing when a slower moving average crosses over/under a faster moving average can be an indication of a trend. If a shorter moving average remains above the longer moving average after they cross, the uptrend is considered intact. The trend is seen as down when the shorter moving average is below the longer moving average.
I prefer the slope of the two since crosses can cause some false positives if you are relying on it for trades.
Adam Khoo Moving AveragesThis indicator will plot the simple and exponential moving averages Adam Khoo is also looking at for buying opportunities.
The best timeframe to use this indicator is the daily chart . The weekly moving averages are hard coded and don't change on any other timeframe. The other moving averages will show the values of your current timeframe.
In the settings you have the option to change the values of the moving averages and to show or not show the current timeframe moving averages or the weekly moving averages.
A label will also show the current value of all moving averages. To hide this label, go into the settings and click on 'Style' and at the bottom uncheck 'Labels'.
Happy trading ;-)
SMA Simple, EMA Exponential Moving Averages with high lowThis is a rewrite of my previous moving average script.
In this version, I have added the 3 day high and low as these are often used as short term trend following entry points
Traders often try to buy the 3 day average of lows in an uptrend and sell the 3 day average of highs in a downtrend
In the same fashion, I have added the 3 week high and low averages for longer term trend following for swing trading
I have added the 18 day, week, month simple moving averages ( SMA ) as I follow these from Ira Epsteins free you tube trading videos).
His 50 years of experience has taught him these are best
I have also added some longer term SMA , 100 day, 200 day, 100w, and 200w
Exponential EMA averages for longer term charts are included 100d, 200d, 100w, 100m, 200m
You can configure the script in the options to remove the ones you don't want to follow
I have removed the micro averages from my previous script since they are for short term scalping day trading hyper-trading which I don't do
Exponential averages are shown as crosses
some of the longer term averages are circles just to set them apart
Overbought or Oversold? Check Distance From MAMoving averages are one of the most basic tools for technical analysts. They can be useful for both trend analysis and for mean reversion.
But how can you know when price is historically overbought or oversold relative to a moving average? Distance from MA can help.
This indicator calculates the distance from a moving average as a percentage and plots the result as an oscillator. Values above 0 appear in green, while negative readings are colored red.
This chart highlights the depth of the S&P 500's recent selloff. As you can see, the close dipped to 25 percent below its 50-day SMA on Monday. That was its most oversold condition since November 20, 2008 -- in the middle of the subprime financial crisis.
Distance from MA can handle five types of moving average. Simply change the "AvgType" input according to this key:
1 - Simple Moving Average
2 - Exponential Moving Average
3 - Hull Moving Average
4 - Weighted Moving Average
5 - Volume-Weighted Moving Average
All Moving averagesI have added an option to turn on or off any Moving average by choice and if needed, Heikin-ashi used as source (instead of close)
List of Moving Averages which you can use
T3 - Tillson Moving Average
DEMA - Double Exponential Moving Average
ALMA - Arnaud Legoux moving average
LSMA - Least Squares Moving Average
MA - Simple Moving Average
EMA - Exponential Moving Average
WMA - Weighted Moving Average
SMMA -The Smoothed Moving Average
TEMA - triple exponential moving average
HMA - The Hull Moving Average
AMA - Adaptive Moving Average
FAMA - Fractal Adaptive Moving Average
VIDYA - Variable Index Dynamic Average
TRIMA - Triangular Moving Average
Consider a tip in ETH to
0xac290B4A721f5ef75b0971F1102e01E1942A4578
Thank you and have a nice day
CryptoJoncis
MACD percentage price oscillatorMACD Percentage Price Oscillator is a variation of the MACD indicator. Signal line crossovers are almost identical. The major difference is the MACD Percentage scale which enables comparison between stocks at different prices.
MACD Percentage Price Oscillator's trading signals are the same as for the MACD indicator. The MACD indicator is primarily used to trade trends and should not be used in a ranging market. Signals are taken when MACD crosses its signal line, calculated as a 9 day exponential moving average of MACD.
First check whether price is trending. If the MACD indicator is flat or stays close to the zero line, the market is ranging and signals are unreliable.
Signals are far stronger if there is either:
- a divergence on the MACD indicator; or
- a large swing above or below the zero line.
- Unless there is a divergence, do not go long if the signal is above the zero line, nor go short if the signal is below zero. Place stop-losses below the last minor Low when long, or the last minor High when short.
The main advantage of MACD Percentage over MACD is the ability to compare indicator values across stocks.
The only difference with MACD Percentage Price Oscillator is that the difference between the fast and slow moving averages is calculated as a percentage of the slow moving average: MACD = (12 Day EMA - 26 Day EMA) / 26 Day EMA
PulseMA Oscillator Normalized v2█ OVERVIEW
PulseMA Oscillator Normalized v2 is a technical indicator designed for the TradingView platform, assisting traders in identifying potential trend reversal points based on price dynamics derived from moving averages. The indicator is normalized for easier interpretation across various market conditions, and its visual presentation with gradients and signals facilitates quick decision-making.
█ CONCEPTS
The core idea of the indicator is to analyze trend dynamics by calculating an oscillator based on a moving average (EMA), which is then normalized and smoothed. It provides insights into trend strength, overbought/oversold levels, and reversal signals, enhanced by gradient visualizations.
Why use it?
Identifying reversal points: The indicator detects overbought and oversold levels, generating buy/sell signals at their crossovers.
Price dynamics analysis: Based on moving averages, it measures how long the price stays above or below the EMA, incorporating trend slope.
Visual clarity: Gradients, fills, and colored lines enable quick chart analysis.
Flexibility: Configurable parameters, such as moving average lengths or normalization period, allow adaptation to various strategies and markets.
How it works?
Trend detection: Calculates a base exponential moving average (EMA with PulseMA Length) and measures how long the price stays above or below it, multiplied by the slope for the oscillator.
Normalization: The oscillator is normalized based on the minimum and maximum values over a lookback period (default 150 bars), scaling it to a range from -100 to 100: (oscillator - min) / (max - min) * 200 - 100. This ensures values are comparable across different instruments and timeframes.
Smoothing: The main line (PulseMA) is the normalized oscillator (oscillatorNorm). The PulseMA MA line is a smoothed version of PulseMA, calculated using an SMA with the PulseMA MA length. As PulseMA MA is smoothed, it reacts more slowly and can be used as a noise filter.
Signals: Generates buy signals when crossing the oversold level upward and sell signals when crossing the overbought level downward. Signals are stronger when PulseMA MA is in the overbought or oversold zone (exceeding the respective thresholds for PulseMA MA).
Visualization: Draws lines with gradients for PulseMA and PulseMA MA, levels with gradients, gradient fill to the zero line, and signals as triangles.
Alerts: Built-in alerts for buy and sell signals.
Settings and customization
PulseMA Length: Length of the base EMA (default 20).
PulseMA MA: Length of the SMA for smoothing PulseMA MA (default 20).
Normalization Lookback Period: Normalization period (default 150, minimum 10).
Overbought/Oversold Levels: Levels for the main line (default 100/-100) and thresholds for PulseMA MA, indicating zones where PulseMA MA exceeds set values (default 50/-50).
Colors and gradients: Customize colors for lines, gradients, and levels; options to enable/disable gradients and fills.
Visualizations: Show PulseMA MA, gradients for overbought/oversold/zero levels, and fills.
█ OTHER SECTIONS
Usage examples
Trend analysis: Observe PulseMA above 0 for an uptrend or below 0 for a downtrend. Use different values for PulseMA Length and PulseMA MA to gain a clearer trend picture. PulseMA MA, being smoothed, reacts more slowly and can serve as a noise filter to confirm trend direction.
Reversal signals: Look for buy triangles when PulseMA crosses the oversold level, especially when PulseMA MA is in the oversold zone. Similarly, look for sell triangles when crossing the overbought level with PulseMA MA in the overbought zone. Such confirmation increases signal reliability.
Customization: Test different values for PulseMA Length and PulseMA MA on a given instrument and timeframe to minimize false signals and tailor the indicator to market specifics.
Notes for users
Combine with other tools, such as support/resistance levels or other oscillators, for greater accuracy.
Test different settings for PulseMA Length and PulseMA MA on the chosen instrument and timeframe to find optimal values.
[LeonidasCrypto]EMA with Volatility GlowEMA Volatility Glow - Advanced Moving Average with Dynamic Volatility Visualization
Overview
The EMA Volatility Glow indicator combines dual exponential moving averages with a sophisticated volatility measurement system, enhanced by dynamic visual effects that respond to real-time market conditions.
Technical Components
Volatility Calculation Engine
BB Volatility Curve: Utilizes Bollinger Band width normalized through RSI smoothing
Multi-stage Noise Filtering: 3-layer exponential smoothing algorithm reduces market noise
Rate of Change Analysis: Dual-timeframe RoC calculation (14/11 periods) processed through weighted moving average
Dynamic Normalization: 100-period lookback for relative volatility assessment
Moving Average System
Primary EMA: Default 55-period exponential moving average with volatility-responsive coloring
Secondary EMA: Default 100-period exponential moving average for trend confirmation
Trend Analysis: Real-time bullish/bearish determination based on EMA crossover dynamics
Visual Enhancement Framework
Gradient Band System: Multi-layer volatility bands using Fibonacci ratios (0.236, 0.382, 0.618)
Dynamic Color Mapping: Five-tier color system reflecting volatility intensity levels
Configurable Glow Effects: Customizable transparency and intensity settings
Trend Fill Visualization: Directional bias indication between moving averages
Key Features
Volatility States:
Ultra-Low: Minimal market movement periods
Low: Reduced volatility environments
Medium: Normal market conditions
High: Increased volatility phases
Extreme: Exceptional market stress periods
Customization Options:
Adjustable EMA periods
Configurable glow intensity (1-10 levels)
Variable transparency controls
Toggleable visual components
Customizable gradient band width
Technical Calculations:
ATR-based gradient bands with noise filtering
ChartPrime-inspired multi-layer fill system
Real-time volatility curve computation
Smooth color gradient transitions
Applications
Trend Identification: Dual EMA system for directional bias assessment
Volatility Analysis: Real-time market stress evaluation
Risk Management: Visual volatility cues for position sizing decisions
Market Timing: Enhanced visual feedback for entry/exit consideration
