Moving Average Convergence Divergence with Enhanced Cross Alerts
Overview of Features and Settings
- Customizable Parameters:
- Fast and Slow Periods: Users can set the duration for both the fast (default 12) and slow (default 26) moving averages.
- Source Selection: The indicator uses the closing price (close) by default, though this can be modified to any other data source.
- Signal Smoothing: The smoothing period for the signal line is adjustable (default 9), and you can choose whether to use SMA or EMA for both the oscillator and the signal line calculations.
Calculation Logic
1. Calculation of Moving Averages:
- The fast and slow moving averages are computed based on the chosen moving average type (SMA or EMA) over the specified periods.
- The MACD line is then determined as the difference between these two moving averages.
2. Signal Line and Histogram:
- Signal Line: Created by smoothing the MACD line, with the option to choose between SMA and EMA.
- Histogram: Represents the difference between the MACD line and the signal line, visually indicating the divergence between the two.
Detection of Cross Events
The script identifies two specific cross events with additional filtering conditions:
- Bullish Cross:
- The MACD line **crosses above** the signal line.
- The previous value of the histogram is negative, and both the MACD and the signal line are below zero.
- This condition suggests that a cross occurring in the negative territory might indicate a potential upward trend reversal.
- **Bearish Cross:**
- The MACD line **crosses below** the signal line.
- The previous value of the histogram is positive, and both the MACD and the signal line are above zero.
- This condition indicates that a cross in the positive territory may signal a potential downward trend reversal.
For each event, there are dedicated alert conditions defined that trigger notifications when the criteria are met.
Visualization
- Displayed Elements:
- Histogram: Rendered as a column chart with colors that change based on the rate of change. For instance, a rising positive histogram uses a stronger green, whereas a declining positive histogram uses a lighter shade.
- MACD and Signal Lines: Displayed as separate lines with distinct colors to differentiate them.
- Zero Line: A horizontal line is drawn to help visually pinpoint the zero level.
- Crossing Signals:
- Optional markers in the form of arrows appear on the chart:
- **Bullish Cross: A green, upward-pointing triangle at the bottom.
- **Bearish Cross: A red, downward-pointing triangle at the top.
Summary
This indicator not only incorporates the traditional MACD components but also offers the following additional benefits:
- **Enhanced Accuracy:** Extra conditions (such as checking the previous histogram value and the position of the lines relative to zero) improve the identification of significant cross events.
- **Customization:** Users can personalize the moving average types and periods, making the indicator adaptable to different trading strategies.
- **Visual Assistance:** The combination of histogram columns, lines, and markers helps quickly pinpoint potential trend reversals, thereby aiding trading decisions.
This comprehensive description is intended to clearly demonstrate to users how the indicator works, outlining its calculations, filtering conditions, and its role in identifying cross events within technical analysis.
Buscar en scripts para "histogram"
SessionVolumeProfileLibrary "SessionVolumeProfile"
Analyzes price & volume during regular trading hours to provide a session volume profile analysis. The primary goal of this library is to provide the developer with three values: the value area high, low and the point of control. The library also provides methods for rendering the value areas and histograms. To learn more about this library and how you can use it, click on the website link in my profile where you will find a blog post with detailed information.
debug(vp, position)
Helper function to write some information about the supplied SVP object to the screen in a table.
Parameters:
vp (Object) : The SVP object to debug
position (string) : The position.* to place the table. Defaults to position.bottom_center
getLowerTimeframe()
Depending on the timeframe of the chart, determines a lower timeframe to grab volume data from for the analysis
Returns: The timeframe string to fetch volume for
get(volumeProfile, lowerTimeframeHigh, lowerTimeframeLow, lowerTimeframeVolume)
Populated the provided SessionVolumeProfile object with vp data on the session.
Parameters:
volumeProfile (Object) : The SessionVolumeProfile object to populate
lowerTimeframeHigh (float ) : The lower timeframe high values
lowerTimeframeLow (float ) : The lower timeframe low values
lowerTimeframeVolume (float ) : The lower timeframe volume values
drawPriorValueAreas(todaySessionVolumeProfile, extendYesterdayOverToday, showLabels, labelSize, pocColor, pocStyle, pocWidth, vahlColor, vahlStyle, vahlWidth, vaColor)
Given a SessionVolumeProfile Object, will render the historical value areas for that object.
Parameters:
todaySessionVolumeProfile (Object) : The SessionVolumeProfile Object to draw
extendYesterdayOverToday (bool) : Defaults to true
showLabels (bool) : Defaults to true
labelSize (string) : Defaults to size.small
pocColor (color) : Defaults to #e500a4
pocStyle (string) : Defaults to line.style_solid
pocWidth (int) : Defaults to 1
vahlColor (color) : The color of the value area high/low lines. Defaults to #1592e6
vahlStyle (string) : The style of the value area high/low lines. Defaults to line.style_solid
vahlWidth (int) : The width of the value area high/low lines. Defaults to 1
vaColor (color) : The color of the value area background. Defaults to #00bbf911)
drawHistogram(volumeProfile, bgColor, showVolumeOnHistogram)
Given a SessionVolumeProfile object, will render the histogram for that object.
Parameters:
volumeProfile (Object) : The SessionVolumeProfile object to draw
bgColor (color) : The baseline color to use for the histogram. Defaults to #00bbf9
showVolumeOnHistogram (bool) : Show the volume amount on the histogram bars. Defaults to false.
Object
Fields:
numberOfRows (series__integer)
valueAreaCoverage (series__integer)
trackDevelopingVa (series__bool)
valueAreaHigh (series__float)
pointOfControl (series__float)
valueAreaLow (series__float)
startTime (series__integer)
endTime (series__integer)
dayHigh (series__float)
dayLow (series__float)
step (series__float)
pointOfControlLevel (series__integer)
valueAreaHighLevel (series__integer)
valueAreaLowLevel (series__integer)
volumeRows (array__float)
priceLevelRows (array__float)
ltfSessionHighs (array__float)
ltfSessionLows (array__float)
ltfSessionVols (array__float)
RelativeVolatilityIndicator with Trend FilterGuide to the Relative Volatility Indicator with Trend Filter (RVI_TF)
Introduction
The Relative Volatility Indicator with Trend Filter (RVI_TF) aims to provide traders with a comprehensive tool to analyze market volatility and trend direction. This unique indicator combines volatility ratio calculations with a trend filter to help you make more informed trading decisions.
Key Components
Scaled Volatility Ratio: This measures the current market volatility relative to historical volatility and scales the values for better visualization.
Fast and Slow Moving Averages for Volatility: These provide a smoothed representation of the scaled volatility ratio, making it easier to spot trends in market volatility.
Trend Filter: An additional line representing a long-term Simple Moving Average (SMA) to help you identify the prevailing market trend.
User Inputs
Short and Long ATR Period: These allow you to define the length for calculating the Average True Range (ATR), used in the volatility ratio.
Short and Long StdDev Period: Periods for short-term and long-term standard deviation calculations.
Min and Max Volatility Ratio for Scaling: Scale the volatility ratio between these min and max values.
Fast and Slow SMA Period for Volatility Ratio: Periods for the fast and slow Simple Moving Averages of the scaled volatility ratio.
Trend Filter Period: Period for the long-term SMA, used in the trend filter.
Show Trend Filter: Toggle to show/hide the trend filter line.
Trend Filter Opacity: Adjust the opacity of the trend filter line.
Visual Components
Histogram: The scaled volatility ratio is displayed as a histogram. It changes color based on the ratio value.
Fast and Slow Moving Averages: These are plotted over the histogram for additional context.
Trend Filter Line: Shown when the corresponding toggle is enabled, this line gives an indication of the general market trend.
How to Use
Volatility Analysis: Look for divergences between the fast and slow MAs of the scaled volatility ratio. It can signal potential reversals or continuation of trends.
Trend Confirmation: Use the Trend Filter line to confirm the direction of the current trend.
Conclusion
The RVI_TF is a multi-faceted indicator designed for traders who seek to integrate both volatility and trend analysis into their trading strategies. By providing a clearer understanding of market conditions, this indicator can be a valuable asset in a trader's toolkit.
KDJ [JoseMetal]============
ENGLISH
============
- Description:
This indicator is a modification of the common KDJ, as you may know the KDJ is just a Stochastic (K+D) with an extra line which is J, the J line can be used as "movement strength" filter and also for overbought and oversold conditions anticipating the K and D.
In this particular modification I've tested many different settings to find the best possible ones, it also has customizable MA type for the calculation and a histogram calculated with the difference between J and D, this is useful to spot divergences and determine trend strength easily, the histogram has a smooth option to make it even more clearer.
- Visual:
So you have K and D from the Stochastic (green and red lines) as well as the J line (white).
Then you have the histogram to show the difference between J and D, the histogram has a similar color scale as a MACD to determine the strength of the trend easily, lighter = stronger, darker = weaker, there are 2 default customizable color setups by the way.
Crossovers between lines (which generates LONG and SHORT entries) are presented with a DOT (green for long and red for short).
Background color also changes, green for bullish, red for bearish, crossovers also marks the background color even more.
- Customization:
As usual in my indicators, everything is customizable, you can pick yours, settings, colors, figures etc.
- Usage and recommendations:
I've tested many different setting setups, for now, the best are the default (14, 21, 21) for the KDJ and (7) for the histogram smooth, 20 and 80 for oversold and overbought levels.
Histogram is great to spot divergences, I recommend to wait for a divergence on a 4H timeframe and wait for the LONG or SHORT signal to appear to enter a trade in the divergence direction.
Enjoy!
============
ESPAÑOL
============
- Descripción:
Éste indicador es una modificación del KDJ común, como sabrás el KDJ es solo un estocástico (K+D) con una línea extra que es la J, la línea J puede ser usada como filtro de "fuerza de movimiento" y también para condiciones de sobrecompra y sobreventa anticipando la K y la D.
En esta modificación en particular he probado muchas configuraciones diferentes para encontrar las mejores posibles, también tiene un tipo de MA personalizable para el cálculo y un histograma calculado con la diferencia entre J y D, esto es útil para detectar divergencias y determinar la fuerza de la tendencia fácilmente, el histograma tiene una opción suave para hacerlo aún más claro.
- Visual:
Por lo tanto, tenemos por un lado la K y D del estocástico (líneas verde y roja), así como la línea J (blanco).
Luego tenemos el histograma para mostrar la diferencia entre J y D, el histograma tiene una escala de colores similar a la del MACD para determinar la fuerza de la tendencia fácilmente, más claro = más fuerte, más oscuro = más débil, hay 2 escalas de color personalizables por defecto.
Los cruces entre líneas (que generan entradas LARGAS y CORTAS) se presentan con un PUNTO (verde para LARGO y rojo para CORTO).
El color de fondo también cambia, verde para alcista, rojo para bajista, los cruces también resaltan el color de fondo aún más.
- Personalización:
Como es habitual en mis indicadores, todo es personalizable, puedes elegir los tuyos, ajustes, colores, figuras, etc.
- Uso y recomendaciones:
He probado muchas configuraciones diferentes, por ahora, las mejores son las predeterminadas (14, 21, 21) para el KDJ y (7) para el histograma suave, 20 y 80 para los niveles de sobreventa y sobrecompra.
El histograma es excelente para detectar divergencias, recomiendo esperar una divergencia en un marco de tiempo de 4H y esperar a que aparezca la señal de LARGO o CORTO para entrar en una operación en la dirección de la divergencia.
¡Que lo disfrutéis!
Volume Difference Delta Cycle OscillatorVolume Difference Delta Cycle Oscillator indicator:
Using the power of my Volume Difference Indicator and standard deviations based on Bollinger Bands and more, we present this wonderful indicator with the following features:
Price Action Histogram: This is the bread and butter of this graph, if the PAH is above 0, this is considered a BULL cycle, and if below 0, this is considered a BEAR cycle. The histogram will move up and down based on the Histagram settings you set in the properties field. Be careful, we advise using default settings.
Custom Overbought & Oversold Lines:mean
These lines can be used to identify when to buy and sell the security, and help you make sense of the action of the histogram. Change the color, size, and linewidth!
These lines are what are used to perform the trades with the strategy as well, so if you change them, they will make an impact on the strategy itself.
EzSpot Background:
Do you want to turn your brain off and just trade when you you're inside an Overbought or Oversold line? Awesome! Turn on EzSpot backgrounds, and when it's green, go long, when it's red go short! Simple as that!
How it works:
By taking the Delta of the Volume Difference Indicator we're able to find the rate of change of the amount of change of volume, allowing us to see changes in volume before price changes. To add onto these, we supercharge it by taking the output of this line as the input source of bollinger bands which we use to output the %B of the Delta of the Volume Difference Indicator.
Separately, we calculate the %B of the current close to use later.
The final step is taking the second %B (which is an indication of where price lies on the curve of historical price data), and from it subtract the first %B, which allows us to visualize the standard deviation of the closing price, minus the standard deviation of Delta of the Volume Difference , which in essence allows us to see when volume changes but price does not and vice versa.
This final output is then plotted along with an over bought and over sold line, which we use to perform our trades on.
Simplified: This indicator shows the cycles of price action - volume based on the rate of the rate of volume changes based on price and the closing price.
Super Simple: Notice when volume increases but price hasn't, and vice versa with this indicator.
Impulse MACD [LazyBear]Impulse MACD is a modified MACD, formed by filtering out the values in a MA range (region between MAs of high and low), thereby reducing whipsaw typical in a sideways market. This is usually plotted as histogram. This also plots the traditional histogram (MACD - Signal), to help in finding entries/exits.
Use this like a traditional MACD (Zero line crossing or Signal crossing).
Colors legend:
Impulse MACD: Possible colors => Lime / Green / Orange / Red, based on the ImpulseMACD position with respect to MidLine and Signal.
Impulse MACD Signal: Maroon line.
Blue histogram: (ImpulseMACD - Signal).
List of my public indicators : bit.ly
List of my app-store indicators : blog.tradingview.com
[blackcat] L2 Market Risk MeterOVERVIEW
The L2 Market Risk Meter is designed to evaluate market conditions using various technical indicators including Moving Averages (MA), Moving Average Convergence Divergence (MACD), and Bollinger Bands 📈🔍. By analyzing these elements, the script helps traders identify potential buying opportunities and assess the overall market sentiment more effectively. This comprehensive approach aids in making informed trading decisions by providing clear visual representations of critical market factors 🚀💸.
Key components include the calculation of short-term and long-term moving averages, MACD lines, and Bollinger Bands, which are then used to plot histograms and labels directly on the chart. These visual cues assist traders in quickly interpreting complex market data, thereby enhancing their ability to navigate volatile markets and capitalize on emerging trends ✅✨.
FEATURES
Advanced Technical Analysis:
Utilizes Short and Long Moving Averages (MAs) to capture different trend durations.
Implements MACD for detecting changes in the strength, direction, momentum, and duration of a trend.
Incorporates Bollinger Bands to measure volatility and provide dynamic support/resistance levels.
Comprehensive Visualization:
Generates colored histograms representing positive and negative MACD values.
Displays labels indicating "Safe," "Risk," and "Buy" signals at crucial points on the chart.
Flexible Settings:
Allows customization of the short_ma_period and long_ma_period to tailor the analysis to individual trading styles or asset types.
Provides configurable colors and styles for histograms and labels to suit personal preferences.
Real-Time Feedback:
Updates dynamically as new price data becomes available, ensuring timely insights.
Facilitates rapid identification of shifts in market conditions through clear graphical outputs.
HOW TO USE
Adding the Indicator:
Begin by adding the L2 Market Risk Meter to your chart on TradingView. You can do this via the "Pine Editor" located at the bottom of the screen. Simply copy-paste the script into the editor and click "Add to Chart."
Configuring Parameters:
Adjust the short_ma_period and long_ma_period inputs based on your preferred timeframes and strategies. For example, shorter periods will react faster but may be noisier, while longer periods offer smoother trends but slower reactions.
Interpreting Histograms:
Monitor the plotted histograms closely:
Positive Values: Represent bullish momentum where the closing prices are higher than the moving average.
Negative Values: Suggest bearish pressure when the closing prices fall below the moving average.
Understanding Labels:
Pay attention to generated labels for actionable insights:
"Safe" Zone: Appears when the price crosses from below to above the lower Bollinger Band, suggesting reduced risk.
"Risk" Zone: Indicates heightened caution if the price breaches upward from below the upper Bollinger Band.
"Buy" Signal: Triggered under stringent bullish conditions combining all predefined criteria, signaling an opportune moment to enter long positions.
Integrating with Other Tools:
Use the L2 Market Risk Meter alongside other technical studies and fundamental analyses to corroborate findings and strengthen your trading strategy.
Regular Review:
Periodically revisit and tweak your parameters and interpretations in light of changing market environments and performance evaluations.
LIMITATIONS
Dependency on Historical Data: Since the indicator relies extensively on historical price movements, its predictions about future trends should be viewed cautiously.
Not Standalone Solution: Like any other tool, it does not guarantee profitability and must be part of a holistic trading plan that includes multiple confirmation methods.
Parameter Sensitivity: Optimal performance depends greatly on selecting appropriate MA period lengths; improper choices could lead to misleading signals.
Volatility Assumptions: The effectiveness of Bollinger Bands varies across different market conditions, especially during low volatility phases where bands might fail to expand significantly.
NOTES
Understanding individual components such as MAs, MACDs, and Bollinger Bands is essential before fully depending on this script's output.
Always backtest any new strategy incorporating this meter thoroughly against diverse market scenarios to gauge reliability.
Consider employing supplementary filters like volume spikes or candlestick patterns to validate signals further.
Be mindful of sudden news events or economic releases impacting asset prices independently of underlying trends highlighted here.
THANKS
A big thank you goes out to fellow members of the TradingView community who have contributed invaluable feedback and suggestions throughout the development process of this indicator 🙏. Your input has been instrumental in refining and improving the functionality and usability of the L2 Market Risk Meter. Continue sharing your experiences so we can collectively enhance our trading capabilities!
[blackcat] L3 Magic-9 Sequential MACDOVERVIEW
The L3 Magic-9 Sequential MACD indicator is an advanced tool designed to enhance the traditional Moving Average Convergence Divergence (MACD) by incorporating sequential patterns. This script calculates various MACD components and applies custom logic to identify potential buy and sell signals based on specific sequential conditions 📊💹.
FEATURES
Calculates MACD Line, Signal Line, and enhanced histogram.
Plots colored histograms to visualize differences between MACD line and signal line:
Positive histogram bars indicate bullish momentum.
Negative histogram bars indicate bearish momentum.
Identifies sequential patterns in the MACD line for generating buy ('Buy') and sell ('Sell') signals 🏷️.
Adds numerical labels (e.g., '5', '6', '7', etc.) to mark specific sequential conditions.
Supports customizable colors and styles for plotted elements ⚙️.
Generates alerts for identified sequential patterns 🔔.
HOW TO USE
Add the indicator to your TradingView chart by selecting it from the indicators list.
Adjust the input parameters for Fast Length, Slow Length, and Signal Length.
Monitor the chart for labeled buy/sell signals and numerical markers indicating sequential patterns.
Set up alerts based on the generated signals to receive notifications when conditions are met 📲.
Use the indicator alongside other technical analysis tools for better decision-making.
LIMITATIONS
The effectiveness of sequential patterns may vary depending on market conditions.
False signals can occur in highly volatile or ranging markets 🌪️.
Users should always confirm signals with other forms of analysis before entering trades.
NOTES
Ensure that you have sufficient historical data available for accurate MACD calculations.
Test the indicator thoroughly on demo accounts before applying it to live trading 🔍.
Customize the appearance of the plotted elements as needed to suit your chart layout.
MACD Divergence H/RHere's a fun script we been working on, let us know what you add!
Short-Forms Used
histogram(hist)--> value of macd Histogram
Low-Price--------> Candle's Low Price
High-Price-------> Candle's High Price
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
-Regular_bulls =====> Lowest(red hist) in Previous red hists is > Lowest(red hist) in Current red hists
and Lowest(Low-price) in Previous red hists is < Lowest(Low-price) in Current red hists
and Lowest(red hist) in Previous red hists is < -Histograms Minimum Value Required
and Lowest(red hist) in Current red hists is < -Histograms Minimum Value Required
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
-Hidden_bulls =====> Lowest(red hist) in Previous red hists is < Lowest(red hist) in Current red hists
and Lowest(Low-price) in Previous red hists is > Lowest(Low-price) in Current red hists
and Lowest(red hist) in Previous red hists is < -Histograms Minimum Value Required
and Lowest(red hist) in Current red hists is < -Histograms Minimum Value Required
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
-Regular_Bears =====> Highest(Green hist) in Previous Green hists is < Highest(Green hist) in Current Green hists
and Highest(High-price) in Previous Green hists is > Highest(High-price) in Current Green hists
and Highest(Green hist) in Previous Green hists is > Histograms Minimum Value Required
and Highest(Green hist) in Current Green hists is > Histograms Minimum Value Required
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
-Hidden_Bears =====> Highest(Green hist) in Previous Green hists is > Highest(Green hist) in Current Green hists
and Highest(High-price) in Previous Green hists is < Highest(High-price) in Current Green hists
and Highest(Green hist) in Previous Green hists is > Histograms Minimum Value Required
and Highest(Green hist) in Current Green hists is > Histograms Minimum Value Required
Please drop a like and comment :)
-Angel Algo
Mean Reversion Probability Zones [BigBeluga]🔵 OVERVIEW
The Mean Reversion Probability Zones indicator measures the likelihood of price reverting back toward its mean . By analyzing oscillator dynamics (RSI, MFI, or Stochastic), it calculates probability zones both above and below the oscillator. These zones are visualized as histograms, colored regions on the main chart, and a compact dashboard, helping traders spot when the market is statistically stretched and more likely to revert.
🔵 CONCEPTS
Mean Reversion : The tendency of price to return to its average after significant extensions.
Oscillator-Based Analysis : Uses RSI, MFI, or Stochastic as the base signal for detecting overextension.
Probability Model : The probability of reversion is computed using three factors:
Whether the oscillator is rising or declining.
Whether the oscillator is above or below user-defined thresholds.
The oscillator’s actual value (distance from equilibrium).
Dual-Zone Output :
Upper histogram = probability of downward mean reversion.
Lower histogram = probability of upward mean reversion.
Historical Extremes : The dashboard highlights the recent maximum probability values for both upward and downward scenarios.
🔵 FEATURES
Oscillator Choice : Switch between RSI, MFI, and Stochastic.
Customizable Zones : User-defined upper/lower thresholds with independent colors.
Probability Histograms :
Above oscillator → down reversion probability.
Below oscillator → up reversion probability.
Colored Gradient Zones on Chart : Visual overlays showing where mean reversion probabilities are strongest.
Probability Labels : Percentages displayed next to histogram values for clarity.
Dashboard : Compact table in the corner showing the recent maximum probabilities for both upward and downward mean reversion.
Overlay Compatibility : Works in both chart pane and sub-pane with oscillators.
🔵 HOW TO USE
Set Oscillator : Choose RSI, MFI, or Stochastic depending on your strategy style.
Adjust Zones : Define upper/lower bounds for when oscillator values indicate strong overbought/oversold conditions.
Interpret Histograms :
Orange (upper) histogram → higher chance of a pullback/downward mean reversion.
Green (lower) histogram → higher chance of upward reversion/bounce.
Watch Gradient Zones : On the main chart, shaded areas highlight where probability of mean reversion is elevated.
Consult Dashboard : Use the “Recent MAX” values to understand how strong recent reversion probabilities have been in either direction.
Confluence Strategy : Combine with support/resistance, order flow, or trend filters to avoid counter-trend trades.
🔵 CONCLUSION
The Mean Reversion Probability Zones provides traders with an advanced way to quantify and visualize mean reversion opportunities. By blending oscillator momentum, threshold logic, and probability calculations, it highlights when markets are statistically stretched and primed for reversal. Whether you are a contrarian trader or simply looking for exhaustion signals to fade, this tool helps bring structure and clarity to mean reversion setups.
Transfer Function Filter [theUltimator5]The Transfer Function Filter is an engineering style approach to transform the price action on a chart into a frequency, then filter out unwanted signals using Butterworth-style filter approach.
This indicator allows you to analyze market structure by isolating or removing different frequency components of price movement—similar to how engineers filter signals in control systems and electrical circuits.
🔎 Features
Four Filter Types
1) Low Pass Filter – Smooths price data, highlighting long-term trends while filtering out short-term noise. This filter acts similar to an EMA, removing noisy signals, resulting in a smooth curve that follows the price of the stock relative to the filter cutoff settings.
Real world application for low pass filter - Used in power supplies to provide a clean, stable power level.
2) High Pass Filter – Removes slow-moving trends to emphasize short-term volatility and rapid fluctuations. The high pass filter removes the "DC" level of the chart, removing the average price moves and only outputting volatility.
Real world application for high pass filter - Used in audio equalizers to remove low-frequency noise (like rumble) while allowing higher frequencies to pass through, improving sound clarity.
3) Band Pass Filter – Allows signals to plot only within a band of bar ranges. This filter removes the low pass "DC" level and the high pass "high frequency noise spikes" and shows a signal that is effectively a smoothed volatility curve. This acts like a moving average for volatility.
Real world application for band pass filter - Radio stations only allow certain frequency bands so you can change your radio channel by switching which frequency band your filter is set to.
4) Band Stop Filter – Suppresses specific frequency bands (cycles between two cutoffs). This filter allows through the base price moving average, but keeps the high frequency volatility spikes. It allows you to filter out specific time interval price action.
Real world application for band stop filter - If there is prominent frequency signal in the area which can cause unnecessary noise in your system, a band stop filter can cancel out just that frequency so you get everything else
Configurable Parameters
• Cutoff Periods – Define the cycle lengths (in bars) to filter. This is a bit counter-intuitive with the numbering since the higher the bar count on the low-pass filter, the lower the frequency cutoff is. The opposite holds true for the high pass filter.
• Filter Order – Adjust steepness and responsiveness (higher order = sharper filtering, but with more delay).
• Overlay Option – Display Low Pass & Band Stop outputs directly on the price chart, or in a separate pane. This is enabled by default, plotting the filters that mimic moving averages directly onto the chart.
• Source Selection – Apply filters to close, open, high, low, or custom sources.
Histograms for Comparison
• BS–LP Histogram – Shows distance between Band Stop and Low Pass filters.
• BP–HP Histogram – Highlights differences between Band Pass and High Pass filters.
Histograms give the visualization of a pseudo-MACD style indicator
Visual & Informational Aids
• Customizable colors for each filter line.
• Optional zero-line for histogram reference.
• On-chart info table summarizing active filters, cutoff settings, histograms, and filter order.
📊 Use Cases
Trend Detection – Use the Low Pass filter to smooth noise and follow underlying market direction.
Volatility & Cycle Analysis – Apply High Pass or Band Pass to capture shorter-term patterns.
Noise Suppression – Deploy Band Stop to remove specific choppy frequencies.
Momentum Insight – Watch the histograms to spot divergences and relative filter strength.
Cycle Phase & ETA Tracker [Robust v4]
Cycle Phase & ETA Tracker
Description
The Cycle Phase & ETA Tracker is a powerful tool for analyzing market cycles and predicting the completion of the current cycle (Estimated Time of Arrival, or ETA). It visualizes the cycle phase (0–100%) using a smoothed signal and displays the forecasted completion date with an optional confidence band based on cycle length variability. Ideal for traders looking to time their trades based on cyclical patterns, this indicator offers flexible settings for robust cycle analysis.
Key Features
Cycle Phase Visualization: Tracks the current cycle phase (0–100%) with color-coded zones: green (0–33%), blue (33–66%), orange (66–100%).
ETA Forecast: Shows a vertical line and label indicating the estimated date of cycle completion.
Confidence Band (±σ): Displays a band around the ETA to reflect uncertainty, calculated using the standard deviation of cycle lengths.
Multiple Averaging Methods: Choose from three methods to calculate average cycle length:
Median (Robust): Uses the median for resilience against outliers.
Weighted Mean: Prioritizes recent cycles with linear or quadratic weights.
Simple Mean: Applies equal weights to all cycles.
Adaptive Cycle Length: Automatically adjusts cycle length based on the timeframe or allows a fixed length.
Debug Histogram: Optionally displays the smoothed signal for diagnostic purposes.
Setup and Usage
Add the Indicator:
Search for "Cycle Phase & ETA Tracker " in TradingView’s indicator library and apply it to your chart.
Configure Parameters:
Core Settings:
Track Last N Cycles: Sets the number of recent cycles used to calculate the average cycle length (default: 20). Higher values provide stability but may lag market shifts.
Source: Selects the data source for analysis (e.g., close, open, high; default: close price).
Use Adaptive Cycle Length?: Enables automatic cycle length adjustment based on timeframe (e.g., shorter for intraday, longer for daily) or uses a fixed length if disabled.
Fixed Cycle Length: Defines the cycle length in bars when adaptive mode is off (default: 14). Smaller values increase sensitivity to short-term cycles.
Show Debug Histogram: Enables a histogram of the smoothed signal for debugging signal behavior.
Cycle Length Estimation:
Average Mode: Selects the method for calculating average cycle length: "Median (Robust)", "Weighted Mean", or "Simple Mean".
Weights (for Weighted Mean): For "Weighted Mean", chooses "linear" (moderate emphasis on recent cycles) or "quadratic" (strong emphasis on recent cycles).
ETA Visualization:
Show ETA Line & Label: Toggles the display of the ETA line and date label.
Show ETA Confidence Band (±σ): Toggles the confidence band around the ETA, showing the uncertainty range.
Band Transparency: Adjusts the transparency of the confidence band (0 = fully transparent, 100 = fully opaque; default: 85).
ETA Color: Sets the color for the ETA line, label, and confidence band (default: orange).
Interpretation:
The cycle phase (0–100%) indicates progress: green for the start, blue for the middle, and orange for the end of the cycle.
The ETA line and label show the predicted cycle completion date.
The confidence band reflects the uncertainty range (±1 standard deviation) of the ETA.
If a warning "Insufficient cycles for ETA" appears, wait for the indicator to collect at least 3 cycles.
Limitations
Requires at least 3 cycles for reliable ETA and confidence band calculations.
On low timeframes or low-volatility markets, zero-crossings may be infrequent, delaying ETA updates.
Accuracy depends on proper cycle length settings (adaptive or fixed).
Notes
Test the indicator across different assets and timeframes to optimize settings.
Use the debug histogram to troubleshoot if the ETA appears inaccurate.
For feedback or suggestions, contact the author via TradingView.
Cycle Phase & ETA Tracker
Описание
Индикатор Cycle Phase & ETA Tracker предназначен для анализа рыночных циклов и прогнозирования времени завершения текущего цикла (ETA — Estimated Time of Arrival). Он отслеживает фазы цикла (0–100%) на основе сглаженного сигнала и отображает предполагаемую дату завершения цикла с опциональной доверительной полосой, основанной на стандартном отклонении длин циклов. Индикатор идеально подходит для трейдеров, которые хотят выявлять циклические закономерности и планировать свои действия на основе прогнозируемого времени.
Ключевые особенности
Фазы цикла: Визуализирует текущую фазу цикла (0–100%) с цветовой кодировкой: зеленый (0–33%), синий (33–66%), оранжевый (66–100%).
Прогноз ETA: Показывает вертикальную линию и метку с предполагаемой датой завершения цикла.
Доверительная полоса (±σ): Отображает зону неопределенности вокруг ETA, основанную на стандартном отклонении длин циклов.
Гибкие методы усреднения: Поддерживает три метода расчета средней длины цикла:
Median (Robust): Медиана, устойчивая к выбросам.
Weighted Mean: Взвешенное среднее, где недавние циклы имеют больший вес (линейный или квадратичный).
Simple Mean: Простое среднее с равными весами.
Адаптивная длина цикла: Автоматически подстраивает длину цикла под таймфрейм или позволяет задать фиксированную длину.
Отладочная гистограмма: Опционально отображает сглаженный сигнал для анализа.
Настройка и использование
Добавьте индикатор:
Найдите "Cycle Phase & ETA Tracker " в библиотеке индикаторов TradingView и добавьте его на график.
Настройте параметры:
Core Settings:
Track Last N Cycles: Количество последних циклов для расчета средней длины (по умолчанию 20). Большие значения дают более стабильные результаты, но могут запаздывать.
Source: Источник данных (по умолчанию цена закрытия).
Use Adaptive Cycle Length?: Включите для автоматической настройки длины цикла по таймфрейму или отключите для использования фиксированной длины.
Fixed Cycle Length: Длина цикла в барах, если адаптивная длина отключена (по умолчанию 14).
Show Debug Histogram: Включите для отображения сглаженного сигнала (полезно для отладки).
Cycle Length Estimation:
Average Mode: Выберите метод усреднения: "Median (Robust)", "Weighted Mean" или "Simple Mean".
Weights (for Weighted Mean): Для режима "Weighted Mean" выберите "linear" (умеренный вес для новых циклов) или "quadratic" (сильный вес для новых циклов).
ETA Visualization:
Show ETA Line & Label: Включите для отображения линии и метки ETA.
Show ETA Confidence Band (±σ): Включите для отображения доверительной полосы.
Band Transparency: Прозрачность полосы (0 — полностью прозрачная, 100 — полностью непрозрачная, по умолчанию 85).
ETA Color: Цвет для линии, метки и полосы (по умолчанию оранжевый).
Интерпретация:
Фаза цикла (0–100%) показывает прогресс текущего цикла: зеленый — начало, синий — середина, оранжевый — конец.
Линия и метка ETA указывают предполагаемую дату завершения цикла.
Доверительная полоса показывает диапазон неопределенности (±1 стандартное отклонение).
Если отображается предупреждение "Insufficient cycles for ETA", дождитесь, пока индикатор соберет минимум 3 цикла.
Ограничения
Требуется минимум 3 цикла для надежного расчета ETA и доверительной полосы.
На низких таймфреймах или рынках с низкой волатильностью пересечения нуля могут быть редкими, что замедляет обновление ETA.
Эффективность зависит от правильной настройки длины цикла (fixedL или адаптивной).
Примечания
Протестируйте индикатор на разных таймфреймах и активах, чтобы подобрать оптимальные параметры.
Используйте отладочную гистограмму для анализа сигнала, если ETA кажется неточным.
Для вопросов или предложений по улучшению свяжитесь через TradingView.
TZanalyserTZanalyser (Trend Zone Monitor With Trend Strength, Volume Focus And -Events Markers)
Before I used TrendZones to manage my portfolio I used Fibonacci Zone Oscillator as my favorite in the sub panel, accompanied with another subpanel indicator which I never published called IncliValue and also REVE Cohorts.
TZanalyser inherits Ideas and code from all three of them: The visual and the idea of using a channel as the basis for an oscillator depicted as a histogram, is taken from the FibZone Oscillator. The idea of providing a number to evaluate the trend is taken from IncliValue. The idea to create a horizontal line which indicates high and low volume focus completed with markers for volume events, is taken from REVE-cohorts.
These ideas are combined in one sleek visual called TZanalyser. TZ stand for TrendZones, because the histogram is based on it.
The histogram.
Depicted is the distance of the price from COG as percent. The distance between Upper Curve and Lower Curve is used as 100%. The values may reach between 300 and -300. The colors indicate in which zone the candle lives, blue in the blue zone, green in the green zone etc. Despite the absence of a gray zone, there are gray bars. These depict candles that wrap around COG. Because hl2 is used as price, some gray bars point up and others down. The orange and red bars point down because the orange and red downtrend zones are below COG.
Use of the histogram.
Sometimes I need to create a list of stocks which are in uptrend in monthly, weekly and daily charts from the stocks I follow in my universe. This job is done fast and easy by looking at the last bar of the histogram. The histogram also gives a quick evaluation of how the stock fared in the past.
The number.
Suppose I need to allocate some money to another stock, selected a few, looked into news and gurus and they look equally good. Then it is nice to be able to find out which has the best charts. Which one has the strongest uptrend. For this purpose this number can be consulted, because it indicates somehow the strength of the trend. It is an integer between 20 and -20, the closer to 20 the stronger the uptrend, closer to -20 indicates a stronger downtrend. The color of the background is the same as the last column of the histogram.
Volume focus and events
The horizontal lines depict volume focus, the line below the focus that comes with the uptrend columns pointing up, the one above the focus for the downtrend columns pointing down. Thes line have tree colors: maroon for high volume focus, green for normal volume and gray for low volume situations. Between the lines and the histogram triangles appear at volume events, a green triangle when the candle comes with high volume, i.e. 120-200 percent of normal, maroon when extreme volume, i.e. more than 200 percent of normal.
The direction of these triangles is that of the histogram, i.e. when the price is higher, direction is up and vice versa.
Take care and have fun.
Adil Hoca - US Market Score Only NasdaqMarket Score & Crash Detector Indicator
User Guide & Usage Instructions
This TradingView indicator provides a comprehensive market risk assessment, combining multiple financial metrics to detect potential market crashes, recessions, and overall trend regimes. It is especially designed to alert traders and investors about early warning signals before significant market downturns, enabling proactive decision-making.
Key Features
Multi-Metric Market Sentiment: Uses volatility indices, currency strength, yield spreads, breadth, and bond ratios to evaluate market health.
Crash Detection System: Monitors various conditions such as VIX spikes, breadth collapse, momentum cliffs, high-yield spread surges, and hidden market weaknesses.
Reccession Indicator: Incorporates the Sahm Rule, a proven recession indicator based on employment data.
Alert System: Sends real-time alerts for critical market conditions, including crashes, recession signals, and spreads alerts.
Visual Elements: Includes histograms, trend lines, threshold lines, and shape signals to visually interpret market states.
Customizable Parameters: Adjust weights, sensitivity, thresholds, and alert preferences to suit your trading style.
How it Works
1. Data Collection
The indicator fetches data from multiple sources:
Market volatility: VIX index
Currency strength: DXY index
Interest rates: SOFR, PCE inflation
Yield spreads: High Yield Credit Spread, Investment Grade Spread
Market Breadth: Ratio of QQQ to TLT (tech vs. bonds)
Bond Ratios: TMF/TMV (long-term bonds)
Employment Data: The Sahm Rule (monthly unemployment data)
2. Normalization
Data is normalized via z-score calculations over defined periods to standardize the metrics, making them comparable regardless of their original scale.
3. Composite Score Calculation
Each metric is weighted according to user-defined parameters, and a composite score is generated to represent the overall market sentiment, smoothed with an EMA for trend clarity.
4. Crash & Recession Detection
Crash System: Looks for conditions like VIX spikes, breadth collapse, momentum drops, high yield spread surges, and hidden weaknesses. If multiple conditions meet thresholds, alerts trigger.
Recession Indicator: Uses the Sahm Rule, which compares the current unemployment rate's three-month average to the lowest point over the past 12 months. When it exceeds a certain threshold, a recession signal is generated.
5. Alerts & Visualization
Sound & Shape Alerts: Signals like warning triangles, cross icons, and color changes.
Threshold Lines: Indicate levels like "Strong Bullish," "Strong Bear," and critical zones.
Dual Confirmation: Combines crash and recession signals for high-confidence alerts.
Usage & Customization
Placing the Indicator
Copy and paste the Pine Script code into TradingView's Pine Editor.
Save and add the script to your chart. Adjust inputs like weights, sensitivity mode, thresholds, and alert preferences via the input panel.
Key Inputs
Weights: Customize the importance of each metric.
Sensitivity Mode: Changes alert thresholds for early warnings.
Crash Sensitivity: Defines how many indicators need to trigger before issuing a crash alert.
Recession Thresholds: Set the unemployment level that signals recession.
Interpreting Visuals
Histogram: Shows the composite score; green means bullish, red indicates bearish.
Momentum Line: Highlights trend acceleration/deceleration.
Threshold Lines: Dotted/dashed lines showing critical zones.
Shape Shapes: Triangles or crosses appear for early signals or critical events.
Alerts
Crash Alerts: Warn of imminent market crashes.
Recession Alerts: Indicate economic downturns based on Sahm Rule.
Spread Alerts: Show high-yield credit spread surges signaling stress.
Double Confirmation: High-confidence signals when crash and recession conditions align.
Best Practices
Use on multiple timeframes for confirmation.
Combine with other technical analysis tools for better accuracy.
Adjust thresholds according to your risk appetite.
Follow alert signals for early warning but always consider overall context.
Final Notes
This indicator synthesizes a variety of leading and lagging indicators to give a holistic view of market health. It is designed to provide early warnings, especially in volatile or stressed environments, helping traders avoid severe drawdowns or position ahead of major downturns.
Feel free to modify input parameters for your preferences, or integrate additional data sources for further refinement.
This detailed explanation can be directly included as a description or documentation within your TradingView script, helping users grasp its full capabilities and optimal usage.
TTM Squeeze Momentum MTF [Cometreon]TTM Squeeze Momentum MTF combines the core logic of both the Squeeze Momentum by LazyBear and the TTM Squeeze by John Carter into a single, unified indicator. It offers a complete system to analyze the phase, direction, and strength of market movements.
Unlike the original versions, this indicator allows you to choose how to calculate the trend, select from 15 different types of moving averages, customize every parameter, and adapt the visual style to your trading preferences.
If you are looking for a powerful, flexible and highly configurable tool, this is the perfect choice for you.
🔷 New Features and Improvements
🟩 Unified System: Trend Detection + Visual Style
You can decide which logic to use for the trend via the "Show TTM Squeeze Trend" input:
✅ Enabled → Trend calculated using TTM Squeeze
❌ Disabled → Trend based on Squeeze Momentum
You can also customize the visual style of the indicator:
✅ Enable "Show Histogram" for a visual mode using Histogram, Area, or Column
❌ Disable it to display the classic LazyBear-style line
Everything updates automatically and dynamically based on your selection.
🟩 Full Customization
Every base parameter of the original indicator is now fully configurable: lengths, sources, moving average types, and more.
You can finally adapt the squeeze logic to your strategy — not the other way around.
🟩 Multi-MA Engine
Choose from 15 different Moving Averages for each part of the calculation:
SMA (Simple Moving Average)
EMA (Exponential Moving Average)
WMA (Weighted Moving Average)
RMA (Smoothed Moving Average)
HMA (Hull Moving Average)
JMA (Jurik Moving Average)
DEMA (Double Exponential Moving Average)
TEMA (Triple Exponential Moving Average)
LSMA (Least Squares Moving Average)
VWMA (Volume-Weighted Moving Average)
SMMA (Smoothed Moving Average)
KAMA (Kaufman’s Adaptive Moving Average)
ALMA (Arnaud Legoux Moving Average)
FRAMA (Fractal Adaptive Moving Average)
VIDYA (Variable Index Dynamic Average)
🟩 Dynamic Signal Line
Apply a moving average to the momentum for real-time cross signals, with full control over its length and type.
🟩 Multi-Timeframe & Multi-Ticker Support
You're no longer limited to the chart's current timeframe or ticker. Apply the squeeze to any symbol or timeframe without repainting.
🔷 Technical Details and Customizable Inputs
This indicator offers a fully modular structure with configurable parameters for every component:
1️⃣ Squeeze Momentum Settings – Choose the source, length, and type of moving average used to calculate the base momentum.
2️⃣ Trend Mode Selector – Toggle "Show TTM Squeeze Trend" to select the trend logic displayed on the chart:
✅ Enabled – Shows the trend based on TTM Squeeze (Bollinger Bands inside/outside Keltner Channel)
❌ Disabled – Displays the trend based on Squeeze Momentum logic
🔁 The moving average type for the Keltner Channel is handled automatically, so you don't need to select it manually, even if the custom input is disabled.
3️⃣ Signal Line – Toggle the Signal Line on the Squeeze Momentum. Select its length and MA type to generate visual cross signals.
4️⃣ Bollinger Bands – Configure the length, multiplier, source, and MA type used in the bands.
5️⃣ Keltner Channel – Adjust the length, multiplier, source, and MA type. You can also enable or disable the True Range option.
6️⃣ Advanced MA Parameters – Customize the parameters for advanced MAs (JMA, ALMA, FRAMA, VIDYA), including Phase, Power, Offset, Sigma, and Shift values.
7️⃣ Ticker & Input Source – Select the ticker and manage inputs for alternative chart types like Renko, Kagi, Line Break, and Point & Figure.
8️⃣ Style Settings – Choose how the squeeze is displayed:
Enable "Show Histogram" for Histogram, Area, or Column style
Disable it to show the classic LazyBear-style line
Use Reverse Color to invert line colors
Toggle Show Label to highlight Signal Line cross signals
Customize trend colors to suit your preferences
9️⃣ Multi-Timeframe Options - Timeframe – Use the squeeze on higher timeframes for stronger confirmation
🔟 Wait for Timeframe Closes -
✅ Enabled – Prevents multiple signals within the same candle
❌ Disabled – Displays the indicator smoothly without delay
🔧 Default Settings Reference
To replicate the default settings of the original indicators as they appear when first applied to the chart, use the following configurations:
🟩 TTM Squeeze (John Carter Style)
Squeeze
Length: 20
MA Type: SMA
Show TTM Squeeze Trend: Enabled
Bollinger Bands
Length: 20
Multiplier: 2.0
MA Type: SMA
Keltner Channel
Length: 20
Multiplier: 1.0
Use True Range: ON
MA Type: EMA
Style
Show Histogram: Enabled
Reverse Color: Enabled
🟩 Squeeze Momentum (LazyBear Style)
Squeeze
Length: 10
MA Type: SMA
Show TTM Squeeze Trend: Disabled
Bollinger Bands
Length: 20
Multiplier: 1.5
MA Type: SMA
Keltner Channel
Length: 10
Multiplier: 1.5
Use True Range: ON
MA Type: SMA
Style
Show Histogram: Disabled
Reverse Color: Disabled
⚠️ These values are intended as a starting point. The Cometreon indicator lets you fully customize every input to fit your trading style.
🔷 How to Use Squeeze Momentum Pro
🔍 Identifying Trends
Squeeze Momentum Pro supports two different methods for identifying the trend visually, each based on a distinct logic:
Squeeze Momentum Trend (LazyBear-style):
Displays 3 states based on the position of the Bollinger Bands relative to the Keltner Channel:
🔵 Blue = No Squeeze (BB outside KC and KC outside BB)
⚪️ White = Squeeze Active (BB fully inside KC)
⚫️ Gray = Neutral state (none of the above)
TTM Squeeze Trend (John Carter-style):
Calculates the difference in width between the Bollinger Bands and the Keltner Channel:
🟩 Green = BB width is greater than KC → potential expansion phase
🟥 Red = BB are tighter than KC → possible compression or pre-breakout
📈 Interpreting Signals
Depending on the active configuration, the indicator can provide various signals, including:
Trend color → Reflects the current compression/expansion state (based on selected mode)
Momentum value (above or below 0) → May indicate directional pressure
Signal Line cross → Can highlight momentum shifts
Color change in the momentum → May suggest a potential trend reversal
🛠 Integration with Other Tools
Squeeze Momentum Pro works well alongside other indicators to strengthen market context:
✅ Volume Profile / OBV – Helps confirm accumulation or distribution during squeezes
✅ RSI – Useful to detect divergence between momentum and price
✅ Moving Averages – Ideal for defining primary trend direction and filtering signals
☄️ If you find this indicator useful, leave a Boost to support its development!
Every piece of feedback helps improve the tool and deliver an even better trading experience.
🔥 Share your ideas or feature requests in the comments!
MA DifferenceThe MA Difference indicator shows 3 histograms representing differences in moving averages between a base MA (10) and 3 MA's: short (20), medium (50), and long (200). It also shows an exponentially weighted trend line which can indicate breakout opportunities, has alerts on all base <-> X crossovers, and shows potential consolidation zones where MA differences are below a user-defined tolerance.
The suggested way to use this indicator is to place a trade when the trend line is above the histogram (and filling the space between them). This indicates that the current MA values are significantly above or below the expected range and that prices are in the midst of breaking out. You may also consult the consolidation zones to eliminate false breakouts and momentary changes in trend. You may also consult the various short, medium, and long crossovers and crossunders to time entries and exits accordingly.
Histograms
The 3 histograms represent the differences between:
Base MA (10) and Short MA (20)
Base MA (10) and Medium MA (50)
Base MA (10) and Long MA (200)
All 4 moving average values can be configured in the indicator's settings. Consistency in direction and color of the histogram indicates a consistent trend across the various moving averages.
Trend Line
The trend line is an exponentially weighted average of the 3 moving averages, scaled by a factor configurable in the settings. When using the trend line, shading will be applied to the difference between the extremes of the histogram and the trend line to indicate that the chart is in a "breakout zone" and is beyond the normal, gradual sway of price action.
Crossovers/Crossunders
You may optionally turn on crossovers and crossunders in the indicator's settings to display when a short, medium, or long crossover occurs against the base moving average. Likewise, alerts are available for each crossover and crossunder for each of the 3 moving average convergences.
Consolidation Zones
Consolidation zones, as well as a line representing the current amount of consolidation, can also be optionally drawn on the chart. These indicate when a security is likely in consolidation, according to the spread of various MA values.
+ Awesome OscillatorHi again. I have another indicator that I think is pretty neat.
I had the idea of creating an Awesome Oscillator for my Ultimate MA, just to see what kind of signals it might produce. If you're not familiar with my UMA you should go take a look at it, but essentially it is just an average of eight different length MAs, and if you're not familiar with the Awesome Oscillator, it is simply a comparison of the gap between two different moving averages (traditionally a 5 and 34 SMA) plotted as a histogram below the price chart. The two UMAs I was comparing in this version of the AO were the Hull and Simple. It looked okay, but I thought due to the nature of the movements of these MAs, that it was necessary to add something to this indicator in order to validate its creation and make it truly useful
I came to the idea of simply comparing the closing price of the asset on the chart to both the Awesome Oscillator moving averages. What this effectively does is gives you a representation of the moving averages on the chart (assuming you are using those same MAs) as an oscillator below the chart, enabling you to remove the moving averages from your price chart (obviously if you so choose). For me, I like this because fewer things on the chart makes it easier for me to see the price action and structure of the market clearly, or add something like a tWAP or two.
So, like, "how exactly would I use this indicator?"" you're probably asking.
First off: the Awesome Oscillator. By default it is a faintly shaded area, and is the least obvious part of the indicator.
Second: the plotted line. This is what I call the baseline (if you're familiar with NNFX, then you know what this is). It's basically your bias moving average (this means it defines, based on its lookback or length, whether momentum is bullish, bearish or ranging). In the case of the oscillator though, the ZERO line represents the baseline, and the oscillating line represents price in relation to it. If the line is above the zero line then price is above the moving average, and vice versa if it's below. The farther from the center line the baseline price is the greater the volatility,
Third: the histogram. This is the faster moving average, and same rules apply to it as your baseline. You can think of your fast moving average as a trade entry trigger, or an exit. It shows more immediate momentum shifts.
What's interesting about the relationships of all three of these things is that you don't actually NEED all three displayed. Because the Awesome Oscillator is a relation of your two moving averages, and the baseline and histogram are representational of the price relative to those two moving averages, you will notice that when the histogram (fast MA) flips up or down is the same exact time that the baseline price dips into the AO. The AO is effectively a moving average on that. So you can run this with just the AO and Baseline, or just the Baseline and fast MA histogram. To get started, I might recommend keeping your moving averages that you use on the chart just so you can see how this indicator works.
Both the fast MA and Baseline will show nice divergences (divergence indicator is added if you want to use it). And I've added Donchian Channels as upper and lower bounds that act neatly as support or resistance (especially effective if you're using my UMA with Bollinger Bands, or Magic Carpet Bands).
I've also done the usual colored candles thing, which gives you another great reason to get the moving averages off your chart. There are of course alerts for conditions that one might need to be alerted to as well.
Below are some images of different ways you might set these up using the default moving average/baseline settings. In all of these I've left the moving averages on the price chart (with the addition of a 233 SMA) so you can see the relationship between the indicators.
Right here is the indicator set up with just the awesome oscillator and baseline price. Gives a cleaner overall look. You can see that every time the baseline crosses the awesome oscillator is when price crosses the 8 SMA. Candle colors are based on if candle closes above baseline or below.
This is the indicator set up without the awesome oscillator. Here you can see candle closes over the 8 SMA (fast moving average) are shown by the histogram. Candle coloring is still the same as the above image.
This image looks identical to the first, except that the candle coloring is different. This time it is based on the 8 SMA (same as the baseline entering the awesome oscillator).
And the final example image. This one depicts the awesome oscillator and the fast moving average histogram. Candle coloring is based on the awesome oscillator. This can be a great way to visualize momentum because the awesome oscillator is depicting the crossing of the moving averages. A lot of people poo-poo moving average crosses, but I'd say they're wrong. Well, they're right and wrong. Depends on the MAs you're using. The power in moving average crosses is in their ability to show bullish or bearish momentum (or ranging behavior if they continually cross over each other). If you're using slow moving averages, then crosses are often very late (hence so many people who don't know saying, "but moving average crosses are too laggy". Here you might try changing these and having the baseline be faster than the UMA, and actually plot on chart the UMA (or some other moving average). These are just some thoughts.
Anyway, I hope this indicator proves useful to you all. I think for anyone looking to look at price action a bit more, but is used to using moving averages, this could be a really useful indicator. Most oscillating indicators (if not all) are built around moving averages, but they're never explained in such a way as I'm explaining how this one works (I don't think). I think knowing this could help many traders come to a deeper understanding of what the indicator they're using is actually doing.
Moving Average Multifuntional OscillatorHi there!
This indicator solvs many task at time.
1. Classic AO histogram - shows convergence or divergence of two SMA (you can input you period)
2. Color of histogram - green for bullish, red for bearish, gray for flat. Depends of conditions in "crossboard block" which include:
2.1 SMA1 cross SMA2 (you can turn off SMA1 and SMA2 optionnaly, to have at least SMA3 and SMA4)
2.3 SMA2 cross SMA3 (you can turn off SMA1 and SMA2 optionnaly, to have at least SMA3 and SMA4)
2.4 SMA3 cross SMA4 - required
2.5 Price bar closed cross SMA5 - (you can turn off this parameter optionally)
3.1 MC SMA fast - momentum checker SMA of histogramm (you can input your period)
3.2 MC SMA slow - momentum checker SMA of histogramm (you can input your period)
3.3 If AO > 0, but MC SMA fast< MC SMA slow - orange bg colo r. It warns us about impulse's weakness
4. Extremely "k" ratio - this ratio (you can input) use in condition AO<(MC SMA slow*K) - red bg color . It warns us about extremely convergence of AO's SMA and might be a trend end signal
5. Alerts: it has 3 alert settings. buy, sell, both.
Alert appears when color of histogram not flat and price closed cross over/under SMA Alert (you can input it). It is the best conditions to trade.
Enjoy!
Phantom Trend IndicatorOverview
The Phantom Trend Indicator (PTI) is a streamlined tool for identifying trend direction and strength. It blends zigzag-based trend detection with a volume profile to display a histogram showing price distance from the Point of Control (POC). Six distinct colors highlight trend states, with background highlights for extreme price zones. Ideal for stocks, forex, crypto, and futures across any timeframe.
Features:
Trend Detection: Uses zigzag fractals to identify uptrends and downtrends.
Histogram Colors: Six colors for trend strength (low, high, extreme for up/down trends) or neutral (gray).
Dynamic Levels: Plots POC, Value Area Low (VAL), and High (VAH) via volume profile.
Background Colors: Highlights overbought (above VAH) or oversold (below VAL) zones.
Alerts: Signals new trends.
How It Works:
Trends: Zigzag fractals define trend ranges, with price position setting histogram colors (low, high, or extreme).
Histogram: Shows price deviation from POC.
Background: Colors extreme zones outside VAL/VAH.
This indicator builds on traditional trend detectors and volume profiles by integrating them into a single, cohesive tool. Unlike standard momentum indicators that rely on moving averages, PTI uses zigzag fractals for more responsive trend identification, reducing lag in volatile markets. Compared to basic volume profile scripts, it adds trend-based color coding and background alerts for extremes, providing clearer visual cues for overbought/oversold conditions. The six distinct colors indicate trend strength, and customizable thresholds allow fine-tuning for different assets and timeframes, enhancing adaptability. Traders benefit from combined momentum and liquidity insights, helping spot reversals or continuations more reliably—making PTI a valuable, standalone addition for both novice and experienced users.
Settings
Trend Detector: Toggle alerts, adjust zigzag sensitivity, and set thresholds for low-to-high and extreme color transitions.
Dynamic Levels: Configure volume profile period, multiplier, accuracy, value area percent, and ATR-based channel width.
Visuals: Customize POC, VAL, VAH, and area fill colors.
Read Histogram: Uptrend colors show early, strong, or overextended moves; downtrend colors indicate early, weakening, or oversold conditions; gray for consolidation.
Background: Monitor for overbought/oversold color-coded signals.
Tune: Adjust zigzag or period settings for your timeframe/asset.
Tips
Shorten period for intraday, extend for swing trading.
Pair with other indicators for confirmation.
Notes:
Requires sufficient chart data for volume profile.
Test settings for low-volatility assets.
For informational use only, not financial advice. Test thoroughly, and happy trading!
RSI Difference (Fast and Slow)Introduction
Oscillators like the RSI are fundamental tools for identifying trends in financial markets. Their ability to measure price momentum allows traders to detect overbought, oversold levels, and divergences, anticipating trend changes. Are there ways to improve the use of traditional RSI? How can we obtain more detailed information about current trends? This indicator answers these questions by expanding the functionalities of the traditional RSI and offering an additional tool for analysis.
How does it work?
This indicator provides a framework for trend analysis based on the following setup:
Fast RSI
Slow RSI
SMA of the fast RSI
SMA of the slow RSI
Histogram
Custom Indicator Settings
My preferred configuration is based on the 13 and 55 moving averages. The rest of the setup is as follows:
I typically use the 13 and 55 moving averages to configure both the RSI and short- and long-term moving averages.
Interpretation and Signals: Including a Long-Period RSI
Including a long-period RSI helps identify key patterns in market behavior. Crossovers between the two can be used to establish entry patterns:
If the fast RSI crosses above the slow RSI, this could indicate a long-entry pattern.
If the fast RSI crosses below the slow RSI, this could indicate a short-entry pattern.
Interpretation and Signals: Including Moving Averages
Including moving averages for both the short- and long-period RSI can help identify the base trend of the movement and, consequently:
Avoid false signals.
Trade in favor of the trend.
A simple way to start working with these is to use the crossover of the moving averages to identify the current trend:
If the short-period SMA is above the long-period SMA, the trend is bullish.
If the short-period SMA is below the long-period SMA, the trend is bearish.
Interpretation and Signals: The Histogram
The histogram represents the difference between the moving averages. If the histogram is positive, the short average is above the long average. If the histogram is below zero, the short average is below the long average. Divergences with price provide signals of potential exhaustion in the movement, indicating a possible reversal.
Indicator Details
This indicator builds upon the traditional RSI by integrating additional features that enhance its utility for traders. Here’s how each component is calculated and how they contribute to the originality of the script:
Fast RSI and Slow RSI: The fast RSI is calculated using a shorter lookback period, allowing it to capture rapid changes in momentum. The slow RSI uses a longer period to smooth out fluctuations and provide a broader view of the trend. These two RSIs work together to identify significant momentum shifts.
SMA of RSI values: The simple moving averages (SMA) of the fast and slow RSI help filter out noise and provide clear crossover signals. The SMAs are calculated using standard formulas but applied to the RSI values rather than price data, which adds a layer of insight into momentum trends.
Histogram calculation: The histogram represents the difference between the SMA of the fast RSI and the SMA of the slow RSI. This value gives a visual representation of the convergence or divergence of momentum. When the histogram crosses zero, it signifies a potential shift in the underlying trend.
This indicator combines multiple layers of analysis: fast and slow momentum, trend confirmation through SMAs, and divergence detection via the histogram. This multi-dimensional approach provides traders with a more comprehensive tool for trend analysis and decision-making.
Conclusion
This article has explored how to use this indicator to identify trends, leverage entry patterns, and analyze divergences by combining the fast RSI, slow RSI, their moving averages, and a histogram. Additionally, I’ve detailed how I usually interpret this indicator:
Identifying RSI patterns to anticipate momentum changes.
Using SMAs to confirm base trends.
Leveraging the histogram to detect divergences and potential price reversals.
Adaptive DEMA Momentum Oscillator (ADMO)Overview:
The Adaptive DEMA Momentum Oscillator (ADMO) is an open-source technical analysis tool developed to measure market momentum using a Double Exponential Moving Average (DEMA) and adaptive standard deviation. By dynamically combining price deviation from the moving average with normalized standard deviation, ADMO provides traders with a powerful way to interpret market conditions.
Key Features:
Double Exponential Moving Average (DEMA):
The core calculation of the indicator is based on DEMA, which is known for being more responsive to price changes compared to traditional moving averages. This makes the ADMO capable of capturing trend momentum effectively.
Standard Deviation Integration:
A normalized standard deviation is used to adaptively weight the oscillator. This makes the indicator more sensitive to market volatility, enhancing responsiveness during high volatility and reducing sensitivity during calmer periods.
Oscillator Representation:
The final oscillator value is derived from the combination of the DEMA-based Z-score and the normalized standard deviation. This final value is visualized as a color-coded histogram, reflecting bullish or bearish momentum.
Color-Coded Histogram:
Bullish Momentum: Values above zero are colored using a customizable bullish color (default: light green).
Bearish Momentum: Values below zero are colored using a customizable bearish color (default: red).
How It Works:
Inputs:
DEMA Length: Defines the period used for calculating the Double Exponential Moving Average. It can be adjusted from 1 to 200 to suit different trading styles.
Standard Deviation Length: Sets the lookback period for standard deviation calculations, which influences the responsiveness of the oscillator.
Standard Deviation Weight (StdDev Weight): Controls the weight given to the normalized standard deviation, allowing customization of the oscillator's sensitivity to volatility.
Calculation Steps:
Double Exponential Moving Average Calculation:
The DEMA is calculated using two exponential moving averages, which helps in reducing lag compared to a simple moving average.
Z-score Calculation:
The Z-score is derived by comparing the difference between the DEMA and its smoothed average (LSMA) to the standard deviation. This indicates how far the current value is from the mean in units of standard deviation.
Normalized Standard Deviation:
The standard deviation is normalized by subtracting the mean standard deviation and dividing by the standard deviation of the values. This helps to make the oscillator adaptive to recent changes in volatility.
Final Oscillator Value:
The final value is calculated by multiplying the Z-score with a factor based on the normalized standard deviation, resulting in a momentum indicator that adapts to different market conditions.
Visualization:
Histogram: The oscillator is plotted as a histogram, with color-coded bars showing the strength and direction of market momentum.
Positive (bullish) values are shown in green, indicating upward momentum.
Negative (bearish) values are shown in red, indicating downward momentum.
Zero Line: A zero line is plotted to provide a reference point, helping users quickly determine whether the current momentum is bullish or bearish.
Example Use Cases:
Momentum Identification:
ADMO helps identify the current market momentum by dynamically adapting to changes in market volatility. When the histogram is above zero and green, it indicates bullish conditions, whereas values below zero and red suggest bearish momentum.
Volatility-Adjusted Signals:
The normalized standard deviation weighting allows the ADMO to provide more reliable signals during different market conditions. This makes it particularly useful for traders who want to be responsive to market volatility while avoiding false signals.
Trend Confirmation and Divergence:
ADMO can be used to confirm the strength of a trend or identify potential divergences between price and momentum. This helps traders spot potential reversal points or continuation signals.
Summary:
The Adaptive DEMA Momentum Oscillator (ADMO) offers a unique approach by combining momentum analysis with adaptive standard deviation. The integration of DEMA makes it responsive to price changes, while the standard deviation adjustment helps it stay relevant in both high and low volatility environments. It's a versatile tool for traders who need an adaptive, momentum-based approach to technical analysis.
Feel free to explore the code and adapt it to your trading strategy. The open-source nature of this tool allows you to adjust the settings and visualize the output to fit your personal trading preferences.
Moving Average Cross Probability [AlgoAlpha]Moving Average Cross Probability 📈✨
The Moving Average Cross Probability by AlgoAlpha calculates the probability of a cross-over or cross-under between the fast and slow values of a user defined Moving Average type before it happens, allowing users to benefit by front running the market.
✨ Key Features:
📊 Probability Histogram: Displays the Probability of MA cross in the form of a histogram.
🔄 Data Table: Displays forecast information for quick analysis.
🎨 Customizable MAs: Choose from various moving averages and customize their length.
🚀 How to Use:
🛠 Add Indicator: Add the indicator to favorites, and customize the settings to suite your trading style.
📊 Analyze Market: Watch the indicator to look for trend shifts early or for trend continuations.
🔔 Set Alerts: Get notified of bullish/bearish points.
✨ How It Works:
The Moving Average Cross Probability Indicator by AlgoAlpha determines the probability by looking at a probable range of values that the price can take in the next bar and finds out what percentage of those possibilities result in the user defined moving average crossing each other. This is done by first using the HMA to predict what the next price value will be, a standard deviation based range is then calculated. The range is divided by the user defined resolution and is split into multiple levels, each of these levels represent a possible value for price in the next bar. These possible predicted values are used to calculate the possible MA values for both the fast and slow MAs that may occur in the next bar and are then compared to see how many of those possible MA results end up crossing each other.
Stay ahead of the market with the Moving Average Cross Probability Indicator AlgoAlpha! 📈💡
[F][IND] - Candle Range SizeDescription:
Understanding market volatility is paramount for making informed trading decisions, and the Candle Range Histogram Indicator is designed to provide traders with a visual representation of price volatility over time.
Key Features:
1. Histogram Display:
The indicator presents a histogram on your TradingView chart, offering a clear visualization of the range of each candle, calculated as the difference between the high and low prices.
2. Volatility Insight:
Easily identify periods of heightened or subdued volatility. Larger histograms indicate greater price ranges, suggesting increased volatility, while smaller histograms signify lower volatility.
3. Intraday Analysis:
Intraday traders can benefit from monitoring the Candle Range Histogram to gauge volatility patterns throughout the trading day. This information is valuable for setting realistic profit targets and adjusting risk management strategies.
4. Breakout Opportunities:
Recognize potential breakout opportunities by observing significant increases in candle range. Traders often associate expanded ranges with potential strong price movements.
5. Trend Confirmation:
Confirm the strength of trends by assessing consecutive candles with expanding or contracting ranges. This can aid trend-following traders in making more informed decisions.
It's important to note that while the histogram provides valuable information, it's usually more effective when used in conjunction with other technical indicators and analysis methods. Traders often combine multiple tools to gain a comprehensive understanding of the market and make well-informed trading decisions.
Alerts:
You can enable alerts on this indicator to receive timely notifications.
Disclaimer:
This indicator is provided for educational purposes only. Trading involves risk, and users should consult with a financial professional before making any trading decisions.
Your Feedback Matters!
Please feel free to comment or reach out if you have any improvement suggestions or if you would like to request the development of a specific indicator. Your feedback is invaluable!
