Stochastic and RSI2 entriesStochastic and RSI2 entries, v1.0
This indicator combines Stochastic and RSI to facilitate "RSI2" entry signals. Buy signals will be shown at the bottom.
The default configuration uses non-standard settings for the underlying indicators to tailor it for this type of entry strategy.
This is an entry strategy that tries to find entries close to "the dip".
A combination of Stochastic crossovers, VWAP, daily SMA50 and daily SMA200 are used to verify buy signals.
This indicator is written for bullish signals and aims to find the start of short trends or cheap entries for longer positions.
Like with any strategy, some signals will be false, and the user is advised to do some own research before using the buy signals for actual entries.
Happy trading!
Movingaverageconvergencedivergence
Adaptive Schaff Trend Cycle (STC) [AlgoAlpha]Introducing the Adaptive Schaff Trend Cycle by AlgoAlpha: Elevate Your Trading Strategies 🚀
Discover precision and adaptability with the Adaptive Schaff Trend Cycle 🎯, meticulously crafted for traders seeking an edge in the markets. This advanced tool integrates sophisticated algorithms to offer clear insights and real-time analytics 📈.
Key Features:
⚙️Adaptive Signal Processing: Utilizes evolving calculations to adjust to market changes, offering highly responsive signals.
🔍Enhanced MACD Analysis: Innovates on the traditional MACD, providing new insights into market dynamics through an adaptive lens.
🎨Customizable Visual Experience: Features customizable up and down colors for tailored chart analysis.
🔔Real-Time Alerts: Stay informed with instant alerts on indicator changes.
Quick Guide to Using the Adaptive STC Indicator
1. 🔧 Adding the Indicator: Search for "Adaptive Schaff Trend Cycle (STC) " within TradingView's Indicators & Strategies and apply it to your chart. Customize the settings according to your trading style for optimum results.
2.👀 Market Analysis: Monitor the STC and Histogram values closely. The indicator's color gradients provide a visual representation of momentum shifts, helping you to identify trends more clearly.
3. 🚨 Set Alerts: Enable alerts for specific conditions like significant moves up or down, or when the histogram crosses zero. This feature ensures you never miss a potential trading opportunity.
How It Works:
The Adaptive Schaff Trend Cycle by AlgoAlpha introduces a dynamic approach to market analysis, refining traditional indicators through adaptive logic to align with fluctuating market conditions. Here's a concise overview of its operation:
🔄 Adaptive MACD Adjustment: The foundation of the indicator is an enhanced MACD calculation, which dynamically adjusts its parameters based on real-time market trends and momentum. This algorithmic adjustment aims to ensure the MACD's responsiveness to market changes, adapting its sensitivity to offer timely insights .
🌟 Integration of Schaff Trend Cycle (STC): After adjusting the MACD, the indicator calculates STC values to provide a smoothed representation of market trends. By normalizing and smoothing the MACD values on a scale from 0 to 100, the STC method helps in identifying market phases with a clear visualization. The smoothing process is designed to mitigate noise and focus on significant market movements .
📊 Visualization and Alerts: To aid in the interpretation of these insights, the Adaptive Schaff Trend Cycle employs color gradients and customizable visual settings to indicate momentum shifts. These visual cues, combined with alert functionalities, are structured to assist traders in monitoring market developments, enabling them to make informed decisions based on the presented data .
🛠️The Adaptive Schaff Trend Cycle thus merges adaptive MACD adjustments with STC methodology, supported by visual and alert features, to create a tool aimed at enhancing market analysis. By focusing on adaptability and current market conditions, it provides a nuanced view of market trends, intended to support traders in their decision-making processes without promising predictive accuracy or reliability .
Normalised Gaussian MACD Heikin Ashi [AlgoAlpha]🌟🚀Introducing the Normalised Gaussian MACD Heikin Ashi by AlgoAlpha !
Elevate your trading game with this multipurpose indicator, crafted to pinpoint trend continuation opportunities while highlighting volatility and oversold/overbought conditions. Whether you're embarking on your trading journey or you're a seasoned market navigator, this tool is equipped with intuitive visual cues to amplify your decision-making prowess and enrich your market analysis toolkit. Let's dive into the key features, utilization strategies, and the innovative logic underpinning this indispensable trading asset.
Key Features:
🔧 Enhanced Customization : Tailor your experience with adjustable parameters including Fast Length, Slow Length, Source, Macd Smoothing Length, Signal Smoothing, and more.
🖌️ Visual Enhancements : Opt for Heikin Ashi Candles display and choose to show or hide MACD and Signal lines for a clutter-free chart.
🌈 Color Customization : Personalize your chart with selectable primary and secondary up and down colors to suit your visual preferences.
🔔 Advanced Alert System : Stay ahead with comprehensive alert conditions for market movements, including trend reversals, bullish and bearish swings.
How to Use:
Configure the Inputs : Start by customizing the indicator’s settings to match your trading style. Adjust the length parameters, source selection, and smoothing lengths to fine-tune the indicator’s sensitivity.
Interpret the Candles and Colors : Keep an eye on the Heikin Ashi Candles (if enabled) and the color shifts within the MACD Line Candles and Histogram. These visual cues are pivotal for identifying market trends.
Analyze with Flexibility : Make use of the option to display or hide the MACD and Signal lines based on your analysis requirements. This can help in focusing on the essential information without overcrowding your chart.
Utilize Alerts for Timely Decisions : Leverage the extensive alert system to get notified about potential market movements. These alerts can help you capture the right moment to enter or exit trades.
Basic Logic:
The Normalised Gaussian MACD Heikin Ashi by AlgoAlpha integrates Gaussian filters to elevate the traditional MACD indicator's efficiency, providing a more detailed analysis of market trends and momentum. This sophisticated approach reduces noise and enhances signal speed, which is crucial for identifying momentum trading opportunities.
Gaussian Filter Implementation : The core innovation lies in applying a Gaussian filter to the input price series. This mathematical technique smooths the price data, significantly reducing market noise and making trend signals clearer and more reliable. The Gaussian filter calculates a smoothed value for each data point by weighting nearby data points, with the weights decreasing as the distance from the current data point increases.
Refined MACD Calculation : The Gaussian MACD is derived from the difference between two Gaussian smoothed moving averages (fast and slow), which are then normalized to account for market volatility. This normalization process involves dividing the difference by a measure of market range (such as the high minus the low), and multiplying by a factor (usually 100) to scale the indicator appropriately.
🔑 This script is a versatile tool designed to aid in the identification of momentum and reversals, helping traders to make informed decisions based on technical analysis. Its customization options allow for a tailored analysis experience, fitting the unique needs and strategies of each trader.
Standardized MACD Heikin-Ashi TransformedThe Standardized MACD Heikin-Ashi Transformed (St. MACD) is an advanced indicator designed to overcome the limitations of the traditional MACD. It offers a more robust and standardized measure of momentum, making it comparable across different timeframes and securities. By incorporating the Heikin-Ashi transformation, the St. MACD provides a smoother visualization of trends and potential reversals, enhancing its utility for traders seeking a clearer view of the underlying market direction.
Methodology:
The calculation of St. MACD begins with the traditional MACD, which computes the difference between two exponential moving averages (EMAs) of the price. To address the issue of non-comparability across assets, the St. MACD normalizes its values using the exponential average of the price's height. This normalization process ensures that the indicator's readings are not influenced by the absolute price levels, allowing for objective and quantitatively defined comparisons of momentum strength.
Furthermore, St. MACD utilizes the Heikin-Ashi transformation, which involves deriving candles from the price data. These Heikin-Ashi candles provide a smoother representation of trends and help filter out noise in the market. A predictive curve of Heikin-Ashi candles within the St. MACD turns blue or red, indicating the prevailing trend direction. This feature enables traders to easily identify trend shifts and make better informed trading decisions.
Advantages:
St. MACD offers several key advantages over the traditional MACD-
Standardization: By normalizing the indicator's values, St. MACD becomes comparable across different assets and timeframes. This makes it a valuable tool for traders analyzing various markets and seeking consistent momentum measurements.
Heikin-Ashi Transformation: The integration of the Heikin-Ashi transformation smoothes out the indicator's fluctuations and enhances trend visibility. Traders can more easily identify trends and potential reversal points, improving their market analysis.
Quantifiable Momentum: St. MACD's key levels represent the strength of momentum, providing traders with a quantifiable framework to gauge the intensity of market movements. This feature helps identify periods of increased or decreased momentum.
Utility:
The St. MACD indicator offers versatile utility for traders-
Trend Identification: Traders can use the color-coded predictive curve of Heikin-Ashi candles to swiftly determine the prevailing trend direction. This aids in identifying potential entry and exit points in the market.
Reversal Signals: Colored extremes within the St. MACD signal potential price reversals, alerting traders to potential turning points in the market. This assists in making timely decisions during market inflection points.
Overbought/Oversold Conditions: The histogram version of St. MACD can be used in conjunction with the bands to detect short-term overbought or oversold market conditions, allowing traders to adjust their strategies accordingly.
In conclusion, this tool addresses the limitations of the traditional MACD by providing a standardized and comparable momentum indicator. Its incorporation of the Heikin-Ashi transformation enhances trend visibility and assists traders in making more informed decisions. With its quantifiable momentum measurements and various utility features, the St. MACD is a valuable tool for traders seeking a clearer and more objective view of market trends and reversals.
Key Features:
Display Modes: MACD, Histogram or Hybrid
Reversion Triangles by adjustable thresholds
Bar Coloring Methods: MidLine, Candles, Signal Cross, Extremities, Reversions
Example Charts:
-Traditional limitations-
-Comparisons across time and securities-
-Showcase-
See Also:
-Other Heikin-Ashi Transforms-
Parabolic SAR + EMA 200 + MACD SignalsParabolic SAR + EMA 200 + MACD Signals Indicator, a powerful tool designed to help traders identify optimal entry points in the market.
This indicator combines three popular technical indicators: Parabolic SAR (Stop and Reverse), EMA200 (Exponential Moving Average 200) and MACD (Moving Average Convergence Divergence) - to provide clear and concise buy and sell signals based on market trends.
The MACD component of this indicator calculates the difference between two exponentially smoothed moving averages, providing insight into the trend strength of the market. The Parabolic SAR component helps identify potential price reversals, while the EMA200 acts as a key level of support and resistance, providing additional confirmation of the overall trend direction.
Whether you're a seasoned trader or just starting out, the MACD-Parabolic SAR-EMA200 Indicator is a must-have tool for anyone looking to improve their trading strategy and maximize profits in today's dynamic markets.
Buy conditions
The price should be above the EMA 200
Parabolic SAR should show an upward trend
MACD Delta should be positive
ُSell conditions
The price should be below the EMA 200
Parabolic SAR should show an downward trend
MACD Delta should be negative
Jerry J8 MACD Optimal Entry Zone---- STRATEGY
This MACD indicator includes an optimal entry zone for entering your trades and works with any symbol in any time frame. The optimal entry zone is defined by user controlled inputs for up to 10 symbols and is pre-loaded with the SPY, IWM, QQQ, NDX, and TESLA for the 3 minute time frame. Additionally, you can add up to 5 more symbols and adjust the optimal entry zones for each signal.
The optimal entry zone is the range above and below the MACD zero line where the highest probability trades can be entered. Too far above or below the zero line and the move is more likely to be exhausted or premature. This is not an exact science and you will want to set the zone for each symbol on the chart time frame you trade.
The reason this indicator is so helpful is because the optimal entry zone changes for every symbol and for every time frame and this indicator automatically shows these zones for up to 10 stock symbols.
---- SETUP & HINTS
There are times when the MACD may be outside of the optimal range but due to other factors (for example, high volume or market moving news) I would choose to enter a trade.
Indicators are not a magic pill and should be used to support trading decisions, not to make them for you. Past performance is not a guarantee of future returns. The results of individual stocks/indexes with any strategy do not constitute proof they will repeat in the future.
DISCLAIMER: The information contained in our scripts/indicators/ideas does not constitute financial advice or a solicitation to buy or sell any securities of any type. Trading and investing in the stock market and cryptocurrencies involves substantial risk of loss and is not suitable for every investor. I’m NOT a financial adviser. All trading strategies are used at your own risk.
Please use the AUTHOR’s INSTRUCTIONS link below for more information.
Black MACDBlack MACD is combination of MACD / Awesome Oscillator / Wavetrend Oscillator / BB Squeeze (Multi Oscillator) with many features like Multi Symbol support, Dual Divergence, MACD Cross over/under and completely customizable.
MACD Oscillator
Awesome Oscillator
Wavetrend Oscillator
Bollinger Bands Squeeze
Multi Symbol
Dual Divergence
MACD Cross over/under
Full Customization
Multi Symbol
Bollinger Bands Squeeze
Dual Divergence
MACD Cross
Awesome Oscillator
Wavetrend Oscillator
What is Moving Average Convergence Divergence – MACD?
The most popular indicator used in technical analysis, Moving average convergence divergence ( MACD ) reveal changes in the strength, direction, momentum, and duration of a trend in a financial instrument’s price. It's a trend-following momentum indicator that shows the relationship between two moving averages of a security’s price. The MACD is calculated by subtracting the 26-period exponential moving average ( EMA ) from the 12-period EMA.
The MACD indicator is typically good for identifying three types of basic signals;
Signal Line Crossovers
A Signal Line Crossover is the most common signal produced by the MACD . On the occasions where the MACD Line crosses above or below the Signal Line, that can signify a potentially strong move. The standard interpretation of such an event is a recommendation to buy if the MACD line crosses up through the Signal Line (a "bullish" crossover), or to sell if it crosses down through the Signal Line (a "bearish" crossover). These events are taken as indications that the trend in the financial instrument is about to accelerate in the direction of the crossover.
Zero Line Crossovers
Zero Line Crossovers occur when the MACD Line crossed the Zero Line and either becomes positive (above 0) or negative (below 0). A change from positive to negative MACD is interpreted as "bearish", and from negative to positive as "bullish". Zero crossovers provide evidence of a change in the direction of a trend but less confirmation of its momentum than a signal line crossover
Divergence
Divergence is another signal created by the MACD . Simply, divergence occurs when the MACD and actual price are not in agreement. A "positive divergence" or "bullish divergence" occurs when the price makes a new low but the MACD does not confirm with a new low of its own. A "negative divergence" or "bearish divergence" occurs when the price makes a new high but the MACD does not confirm with a new high of its own. A divergence with respect to price may occur on the MACD line and/or the MACD Histogram
Moving Average Crossovers, another hidden signal that MACD Indicator identifies
Many traders will watch for a short-term moving average to cross above a longer-term moving average and use this to signal increasing upward momentum. This bullish crossover suggests that the price has recently been rising at a faster rate than it has in the past, so it is a common technical buy sign. Conversely, a short-term moving average crossing below a longer-term average is used to illustrate that the asset's price has been moving downward at a faster rate and that it may be a good time to sell.
Moving Average Crossovers in reality is Zero Line Crossovers, the value of the MACD indicator is equal to zero each time the two moving averages cross over each other. For easy interpretation by trades, Zero Line Crossovers are simply described as positive or negative MACD
False signals
Like any forecasting algorithm, the MACD can generate false signals. A false positive, for example, would be a bullish crossover followed by a sudden decline in a financial instrument. A false negative would be a situation where there is bearish crossover, yet the financial instrument accelerated suddenly upwards
What is Awesome Oscillator?
The Awesome Oscillator is an indicator used to measure market momentum. AO calculates the difference of a 34 Period and 5 Period Simple Moving Averages. The Simple Moving Averages that are used are not calculated using closing price but rather each bar's midpoints. AO is generally used to affirm trends or to anticipate possible reversals.
Disclaimer: DYOR. Not financial advice. Not a trading system. I am not affiliated with TradingView or any authors mentioned here; You alone have the sole responsibility of evaluating the script output and risks associated with the use of the script. Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely. Always trade with confluence and Risk Management.
Feedback & Bug report
if you found any bug in this indicator or any suggestion, please let me know. Please give feedback & appreciate if you like to see more future updates and indicators. Thank you
Check out Black RSI indicator:
NSDT Double MA ShadingThis script is an interesting take on Convergence and Divergence of Moving Averages. With the built-in MACD Indicator, you cannot make these adjustments to the settings.
DESCRIPTION
The top Moving Average is calculated on the High of the candle.
The bottom Move Average is calculated on the Low of the candle.
If the two are moving apart (Divergence), the shaded area between them turns Green.
If the two are moving together (Convergence), the shaded area between them turns Red.
This may help identify when a trend is becoming stronger or weaker, based on the shaded area and Moving Average direction.
POSSIBLE USAGE
For example:
If the MA's are pointing downward and the shaded area is Green - it means that average distance between the candle High and Low is getting wider, which may indicate a stronger downward movement. Then, when the shaded area turns Red, signaling the average distance between the candle High and Low are getting narrower, this may indicate that the downward movement is weakening, and may be the end of that downward trend.
SETTINGS
You can choose from EMA, SMA, WMA, RMA, HMA, TMA, and VWMA.
Although you can choose the MA Source, it is highly recommended to keep one source on the High of the candle and the other on the Low of the candle, for measure Convergence and Divergence.
All indicator settings are editable.
It can be used on Multi Timeframes (MTF).
This script is free and open source.
Limited MACDwhat is "Limited MACD"?
it is macd but it has some useful additional features.
what it does?
it takes limited values ??just like rsi. The highest value it can take is 100 and the lowest value is -100. this way it gets the same highs and lows for different symbols and time slots. which means we can set overbought and oversold values ??with it. he also paints candles according to their values. The closer the price is to the oversold values, the more red, and the closer to the overbought values, the greener.
how it does it?
macd values ??are limited by dividing by extreme values. The macd value is used as the variable for the color.rgb function, this is used to get a different color for each macd value.
how to use it?
The variables in the settings section are the same as standard macd.
Use the colors to identify overbought and oversold zones and to predict possible price reversal points. also the indicator will mark possible turning points. other than that, its use is similar to standard macd and its limits are up to your imagination.
four hour:
one hour:
five minute:
Smoother Momentum MACD w/ DSL [Loxx]Smoother Momentum MACD w/ DSL uses two different EMA calculations to derive momentum and then calculates the MACD between those momentum outputs. This indicator uses a variation of Discontinued Signal Lines for the breakout/breakdown/reversal signals . There are three different signal types: middle, levels, and slope. I've also added alerts and signals. The discontinued signal lines can be smoothed using EMA or Fast EMA.
What are DSL Discontinued Signal Line?
A lot of indicators are using signal lines in order to determine the trend (or some desired state of the indicator) easier. The idea of the signal line is easy : comparing the value to it's smoothed (slightly lagging) state, the idea of current momentum/state is made.
Discontinued signal line is inheriting that simple signal line idea and it is extending it : instead of having one signal line, more lines depending on the current value of the indicator.
"Signal" line is calculated the following way :
When a certain level is crossed into the desired direction, the EMA of that value is calculated for the desired signal line
When that level is crossed into the opposite direction, the previous "signal" line value is simply "inherited" and it becomes a kind of a level
This way it becomes a combination of signal lines and levels that are trying to combine both the good from both methods.
In simple terms, DSL uses the concept of a signal line and betters it by inheriting the previous signal line's value & makes it a level.
Included:
Loxx's Expanded Source Types
Alerts
Signals
Bar coloring
Other momentum indicators
CFB-Adaptive Velocity Histogram
Variety-Filtered, Squeeze Moving Averages
William Blau Ergodic Tick Volume Indicator (TVI)
Adaptive, Jurik-Filtered, JMA/DWMA MACD [Loxx]Adaptive, Jurik-Filtered, JMA/DWMA MACD is MACD oscillator with a twist. The traditional calculation of MACD is the between two EMAs of price. This traditional approach yields a very noisy and lagged signal. To solve this problem, JMA/DWMA MACD uses the difference between adaptive Juirk-Filtered price and adaptive DWMA to yield a marked improvement over traditional MACD.
What is JMA / DWMA oscillator (MACD)?
Of all the different combinations of moving average filters to use for a MACD oscillator, we prefer using the JMA - DWMA combination.
JMA is ideal for the fast moving average line because it is quick to respond to reversals, is smooth and can be set to have no overshoot. DWMA (double weighted moving average) is ideal for the slower line as is tends to delay reversing direction until JMA crosses it.
What is Jurik Volty used in the Juirk Filter?
One of the lesser known qualities of Juirk smoothing is that the Jurik smoothing process is adaptive. "Jurik Volty" (a sort of market volatility ) is what makes Jurik smoothing adaptive. The Jurik Volty calculation can be used as both a standalone indicator and to smooth other indicators that you wish to make adaptive.
What is the Jurik Moving Average?
Have you noticed how moving averages add some lag (delay) to your signals? ... especially when price gaps up or down in a big move, and you are waiting for your moving average to catch up? Wait no more! JMA eliminates this problem forever and gives you the best of both worlds: low lag and smooth lines.
Ideally, you would like a filtered signal to be both smooth and lag-free. Lag causes delays in your trades, and increasing lag in your indicators typically result in lower profits. In other words, late comers get what's left on the table after the feast has already begun.
What is an adaptive cycle, and what is Ehlers Autocorrelation Periodogram Algorithm?
From his Ehlers' book Cycle Analytics for Traders Advanced Technical Trading Concepts by John F. Ehlers , 2013, page 135:
"Adaptive filters can have several different meanings. For example, Perry Kaufman’s adaptive moving average ( KAMA ) and Tushar Chande’s variable index dynamic average ( VIDYA ) adapt to changes in volatility . By definition, these filters are reactive to price changes, and therefore they close the barn door after the horse is gone.The adaptive filters discussed in this chapter are the familiar Stochastic , relative strength index ( RSI ), commodity channel index ( CCI ), and band-pass filter.The key parameter in each case is the look-back period used to calculate the indicator. This look-back period is commonly a fixed value. However, since the measured cycle period is changing, it makes sense to adapt these indicators to the measured cycle period. When tradable market cycles are observed, they tend to persist for a short while.Therefore, by tuning the indicators to the measure cycle period they are optimized for current conditions and can even have predictive characteristics.
The dominant cycle period is measured using the Autocorrelation Periodogram Algorithm. That dominant cycle dynamically sets the look-back period for the indicators. I employ my own streamlined computation for the indicators that provide smoother and easier to interpret outputs than traditional methods. Further, the indicator codes have been modified to remove the effects of spectral dilation.This basically creates a whole new set of indicators for your trading arsenal."
Included
- Toggle on/off bar coloring
Adaptive Jurik Filter MACD [Loxx]Adaptive Jurik Filter MACD uses Jurik Volty and Adaptive Double Jurik Filter Moving Average (AJFMA) to derive Jurik Filter smoothed volatility.
What is MACD?
Moving average convergence divergence (MACD) is a trend-following momentum indicator that shows the relationship between two moving averages of a security’s price. The MACD is calculated by subtracting the 26-period exponential moving average (EMA) from the 12-period EMA.
The result of that calculation is the MACD line. A nine-day EMA of the MACD called the "signal line," is then plotted on top of the MACD line, which can function as a trigger for buy and sell signals. Traders may buy the security when the MACD crosses above its signal line and sell—or short—the security when the MACD crosses below the signal line. Moving average convergence divergence (MACD) indicators can be interpreted in several ways, but the more common methods are crossovers, divergences, and rapid rises/falls.
What is Jurik Volty?
One of the lesser known qualities of Juirk smoothing is that the Jurik smoothing process is adaptive. "Jurik Volty" (a sort of market volatility ) is what makes Jurik smoothing adaptive. The Jurik Volty calculation can be used as both a standalone indicator and to smooth other indicators that you wish to make adaptive.
What is the Jurik Moving Average?
Have you noticed how moving averages add some lag (delay) to your signals? ... especially when price gaps up or down in a big move, and you are waiting for your moving average to catch up? Wait no more! JMA eliminates this problem forever and gives you the best of both worlds: low lag and smooth lines.
Ideally, you would like a filtered signal to be both smooth and lag-free. Lag causes delays in your trades, and increasing lag in your indicators typically result in lower profits. In other words, late comers get what's left on the table after the feast has already begun.
That's why investors, banks and institutions worldwide ask for the Jurik Research Moving Average ( JMA ). You may apply it just as you would any other popular moving average. However, JMA's improved timing and smoothness will astound you.
What is adaptive Jurik volatility?
One of the lesser known qualities of Juirk smoothing is that the Jurik smoothing process is adaptive. "Jurik Volty" (a sort of market volatility ) is what makes Jurik smoothing adaptive. The Jurik Volty calculation can be used as both a standalone indicator and to smooth other indicators that you wish to make adaptive.
What is an adaptive cycle, and what is Ehlers Autocorrelation Periodogram Algorithm?
From his Ehlers' book Cycle Analytics for Traders Advanced Technical Trading Concepts by John F. Ehlers , 2013, page 135:
"Adaptive filters can have several different meanings. For example, Perry Kaufman’s adaptive moving average ( KAMA ) and Tushar Chande’s variable index dynamic average ( VIDYA ) adapt to changes in volatility . By definition, these filters are reactive to price changes, and therefore they close the barn door after the horse is gone.The adaptive filters discussed in this chapter are the familiar Stochastic , relative strength index ( RSI ), commodity channel index ( CCI ), and band-pass filter.The key parameter in each case is the look-back period used to calculate the indicator. This look-back period is commonly a fixed value. However, since the measured cycle period is changing, it makes sense to adapt these indicators to the measured cycle period. When tradable market cycles are observed, they tend to persist for a short while.Therefore, by tuning the indicators to the measure cycle period they are optimized for current conditions and can even have predictive characteristics.
The dominant cycle period is measured using the Autocorrelation Periodogram Algorithm. That dominant cycle dynamically sets the look-back period for the indicators. I employ my own streamlined computation for the indicators that provide smoother and easier to interpret outputs than traditional methods. Further, the indicator codes have been modified to remove the effects of spectral dilation.This basically creates a whole new set of indicators for your trading arsenal."
Included
- Change colors of oscillators and bars
Parabolic SAR MARSI, Adaptive MACD [Loxx]Parabolic SAR MARSI, Adaptive MACD is a trend following indicator that combines MACD, Parabolic SAR, and RSI into a signal indicator.
What is Parabolic SAR?
The parabolic stop and reverse, more commonly known as the "Parabolic SAR," or "PSAR" is a trend-following indicator developed by J. Welles Wilder. It is displayed as a single parabolic line (or dots) underneath the price bars in an uptrend, and above the price bars in a downtrend.
What is MACD?
Moving average convergence divergence (MACD) is a trend-following momentum indicator that shows the relationship between two moving averages of a security’s price. The MACD is calculated by subtracting the 26-period exponential moving average (EMA) from the 12-period EMA.
What is RSI?
The relative strength index (RSI) is a momentum indicator used in technical analysis that measures the magnitude of recent price changes to evaluate overbought or oversold conditions in the price of a stock or other asset. The RSI is displayed as an oscillator (a line graph that moves between two extremes) and can have a reading from 0 to 100. The indicator was originally developed by J. Welles Wilder Jr. and introduced in his seminal 1978 book, “New Concepts in Technical Trading Systems.”
How to combine PSAR, MACD, and RSI into one:
1. Create a new type of moving average called MARSI. MARSI is like a typical moving average but it flexes to RSI sensitivities
2. Calculate MACD for the MARSI of High/Low values
3. Calculate the midpoint MACD between the High/Low MACDs created in step 2
4. Create a final MACD by calculating the MARSI for the midpoint MACD created in step 3
5. Finally, Inject these values into a customized Parabolic SAR function
Results:
-A unique spin on three different indicators that identifies trends of both RSI, MACD, and price of the underlying asset
-Entry, exit, and reversal points in price, RSI, and MACD
-A MACD that adapts to RSI
What's Included?
-Customization of all variables
-A variety of moving averages to smooth the signal line
-Customizable colors
-Alerts for MACD zero-line and signal crosses, and PSAR trend direction changes
Things to know:
-The histogram in this indicator is NOT the normal histogram found in the classic MACD indicator. The histogram here is a histogram of MACD itself. The classic histogram has questionable utility but the histogram in this indicator is very important and useful
-Parabolic SAR is calculated on the MARSI of High/Low values
Future releases:
-Divergences
-Regular, continuation, and exit signals
Happy trading!
Hybrid, Zero lag, Adaptive cycle MACD Backtest (Simple) [Loxx]Simple backtest for Hybrid, Zero lag, Adaptive cycle MACD Backtest (Simple) found here:
What this backtest includes:
-Customization of inputs for MACD calculation
-Take profit 1 (TP1), and Stop-loss (SL), calculated using standard RMA-smoothed true range
-Activation of TP1 after entry candle closes
-Zero-cross entry signal plots
-MACD-Signal cross entry continuations
-Longs and shorts
Happy trading!
MACD-VWhat is it?
The MACD-V indicator is the normal version of the MACD (Moving Average Convergence Divergence) indicator but normalized for volatility. It is normalized for volatility in order to compare momentum values across time and across tickers which the normal MACD indicator fails to do.
Formula
The formula for the MACD-V is as follows
MACD Line = [ / ATR(26)] * 100
Signal Line = EMA(9,MACD)
Histogram = MACD Line - Signal Line
How to Use
The MACD-V indicator is used to analyze normalized trends. If the MACD line is above 150, it is considered overbought. If the MACD line is below -150, it is considered oversold. Crossovers of the MACD line and the signal line are considered to be points of trend changes as well.
Features
Customizable Overbought/Oversold boundaries
Customizable colors
Credits
All credit for the idea behind this indicator goes to Alex Spiroglou CMT. His academic paper on the indicator can be found here .
In addition to Alex's idea for the paper, one TradingView user, Mik3Christ3ns3n has created a partial version of it which can be found here .
[Rygel] MACD 4C with divergences, crossovers and alertsThis indicator is a reliable, exhaustive, instant, simple divergence detector for the MACD 4C oscillator.
I've struggled for months to find a MACD divergence indicator I can rely on, I've tinkered with the ones I found and never was satisfied by the final result. For all of them important divergences were not shown, for some divergences was shown too late, for others divergence lines was not drawn, some even shown some strange exotic divergences... I played will all the parameters and something was always wrong or missing at the end.
It was even worse for the MACD 4C indicator, the 4-color MACD, which I prefer to use.
So I finally decided to write my own divergence algorithm and to create my own indicator. After a few attempts, here's the result.
This MACD indicator is using the same divergence detection algorithm I wrote for my RSI indicator. You'll find on its description page a comparison of my divergence algorithm with other ones to see how it differs.
When I built this indicator, my objectives were to create one that is:
Reliable. I didn't want to have to double-check an indicator to make sure it's doing what I expect it to do. I want to be able to look at it for one second and know I can rely on it.
Exhaustive. I didn't want to have to rely on multiple indicators to be sure I'm not missing a divergence.
Instant. I wanted the divergences to be shown as soon as soon as they form and not after a pivot is confirmed. For some indicator, when the divergence is displayed, it's already too late to act on it.
Simple. I wanted my indicator to be clean, readable and not visually aggressive. The main objective of this indicator is to show divergences and I didn't want to visually overload it with unrequired information.
I wanted my indicator to be a simple as possible, nonetheless you'll find a few parameters to tinker with. Many of them will need no explanation but here's the list.
Show signal line: disabled by default. Show the MACD signal line.
Color signal line: disabled by default. Show the signal line as green when it goes up and read when it goes down.
Show signal crossovers: enabled by default. Show a green dot when MACD crosses up its signal line and a red dot when it crosses down.
Show zero line: enabled by default. Show a line at the 0 value.
Show zero crossovers: disabled by default. Show a green triangle when MACD crosses up the 0 line and a red triangle when it crosses down.
Show regular divergences: enabled by default.
Show hidden divergences: disabled by default for readability. I try to keep the indicator as clean as possible by default.
Bullish regular divergence color : no explanation needed I suppose.
Bullish hidden divergence color : same.
Bearish regular divergence color : ditto.
Bearish hidden divergence color : uhh.
Show overbought and oversell backgrounds : when RSI is oversold or oversell, the background color changes to red or green. The indicator uses two levels of oversold/overbought. When the RSI is strongly oversold/overbought the background color gets brighter. You can configure these levels in the advanced parameters.
Advanced parameters:
MACD fast moving average length: 12 by default.
MACD slow moving average length: 26 by default.
MACD signal moving average length: 9 by default.
Show divergences before pivot confirmation : enabled by default. Divergences will appear as soon as possible, before the pivot is confirmed by another candlestick. Unconfirmed divergences will appear as dashed lines then disappear if not confirmed or turn to solid lines if confirmed. This may create false positives with alerts as the divergence may disappear.
Minimum bars to check: 5 by default. As this indicator detects absolutely all the divergences, some may be insignificant and it may become unreadable without some filtering. If you want to see absolutely all the divergences, you may lower this value. Please note TradingView limits to 50 how many lines are displayed at the same time on an indicator. So when you display more divergences, some in the past disappear. It's not usually an issue but if you scroll back in time, divergences will stop to show at one point in the past.
Maximum bars to check: 75 by default. Divergences may go far in the past, this parameters limit how old a divergence may be. You can higher it to show more divergences.
Show pivots: disabled by default. Show the pivot points used for divergence detections.
This indicator offers the following alerts:
Any divergence
Bearish divergence
Bullish divergence
Regular bearish divergence
Regular bullish divergence
Hidden bearish divergence
Hidden bullish divergence
MACD becoming positive
MACD becoming negative
MACD crossing up signal line
MACD crossing down signal line
Please note TradingView limits for performance reason to 50 the number of lines you can display on an indicator at the same time. So when you scroll back in time, at one point divergences will stop to show. If you want to see divergences far in the past, you may need to use the replay feature or to configure stronger filtering settings.
I hope you'll enjoy this indicator as much as I do! :)
Feel free to comment if you experience a bug or if an important feature is missing for you. (Please note the core of this indicator is divergence detection, I want to keep it simple so I will probably not add many unrelated features to it.)
Median Convergence DivergenceIntroduction
The Median Convergence Divergence (MCD) is a derivative of the Moving Average Convergence Divergence (MACD). The difference is the change in the use of the measure of central tendency. In MACD, moving average (mean) is used, whereas, in MCD, the median is used instead. The purpose of using the median is to eliminate the outlying values, which would be calculated for a moving average. The outliers would affect the value of the moving average.
For example: 3, 5, 7, 8, 5, 4, 2, 1, 6, 21, 8. The data set average is 6.3, whereas the median value is 5. There is a difference of about 23% in the example. The reason is the outlying value '21' in the data set.
As the markets are volatile, outlying values can always emerge. A moving average will consider those values; on the other hand, the median will ignore. If the strategy calls for a tool to ignore the outliers, the Median Convergence Divergence would be a great centered oscillator.
The default values have changed to suit the current trading days in a week. When the MACD was introduced, there would be six trading days in a week. Therefore, it used 12 (2 weeks), 26(4 weeks), and 9 ( 1.5 weeks). But now that there are five trading days per week. The default values are adapted to them. Feel free to change them as per your wish.
Recommended Settings
The current settings are set to be used for the Daily Time Frame: 5 day period for the fast line, a 20 day period for the slow line, and a 10 day period for the signal line. (5 days represent a trading week, 10 days is two weeks, and 20 days is 4 weeks or a month)
For the weekly charts, use 4 week period for the fast line, 13 week period for the slow line, and 8 week period for the signal line. (4 weeks represent a month, 8 weeks is two months, and 13 weeks is 3 months or quarterly)
And for monthly charts, use 3 month period for the fast line, 12 month period for the slow line, and 6 month period for the signal line. (3 months is quarterly, 6 months is bi-yearly, and 12 month is yearly)
It'll be challenging to measure for intraday since there are many different timeframes within intraday. The settings mentioned above should also be customized as per the requirements of the trading strategy.
Strategy
The strategy application is the same as the MACD, i.e., Signal Line Crossovers, Zero Line Crossovers, and Divergence.
Signal Line Crossovers: When the MCD line crosses above the Signal line, it's a bullish crossover. When the MCD line crosses below the Signal line, it's a bearish crossover.
Zero Line Crossovers: It's a bullish crossover when the MCD line crosses above the Zero line. When the MCD line crosses below the Zero Line, it's a bearish crossover.
Divergence: When price shows a lower low, but MCD shows a higher low, it's a bullish divergence. When the price shows a higher high but MCD shows a lower high, it's a bearish divergence.
Using other indicators in conjunction with the Median Convergence Divergence is recommended to take entry and exit signals.
Ehlers Moving Average Difference Indicator [CC]The Moving Average Difference Indicator was created by John Ehlers (Stocks and Commodities Oct 2021 pg 23) and this is essentially his version of the famous MACD indicator. He calls this indicator the "thinking mans" MACD because his thought process for creating the lengths is based on half of the period of the dominant cycle. These are the default lengths that he created but feel free to test it out with your own variations and please let me know if you come up with a better one. I'm sorry for my long delay from TV. Sometimes I just need to step away and collect my thoughts before I burn myself out with the many scripts I keep publishing daily. I will try to get back into publishing daily again because I have a personal backlog of over 50 scripts ready to go that I haven't published yet. As always I have included strong buy and sell signals in addition to normal ones so darker colors are strong and lighter colors are normal. Buy when the line turns green and sell when it turns red.
Let me know if there are any other scripts you would like to see me publish!
MACD Triple - Moving Average Convergence Divergence - TradingEDThis case study is based on a previous MACD study, but with three different counts to compare different trends. The use of this indicator is restricted to private use, and it can be used only by invitation. Different functionalities have been added to the original code, such as alerts and signals that seek to make trading much easier to interpret by any type of trading operator of any experience level, from beginner to intermediate and advanced.
Key components of the original indicator:
● The Moving Average Convergence Divergence (MACD) is calculated by subtracting a long period (26) Exponential Moving Average (EMA) from a short (12) period EMA.
● MACD triggers technical signals when it crosses above (to buy) or below (to sell) its signal line.
● The speed of crossovers is also taken as a signal of a market is overbought or oversold.
● MACD helps traders to understand whether the bullish or bearish movement in the price is strengthening or weakening.
It is a momentum indicator that follows the trend and shows the relationship between two moving averages of the price of a security. It can function as a trigger for buy and sell signals, when you cross above (to buy) or below (to sell) your signal line. It helps to understand if the movement is bullish or bearish, if it is getting stronger or weaker. The further the MACD is above or below its baseline, it indicates that the distance between the two EMAs will be growing, often shown with a histogram that graphically represents the distance between the MACD and its signal line, and It is used to identify when the bullish or bearish momentum.
Main functions of this modified indicator:
1) You can select the type of MOVING AVERAGE , among many available options (SMA, EMA, DEMA, HMA, etc.)
2) The SOURCES for the counts can be determined by the trader (close, open, etc).
3) The MEASURE can be based on a CANDLES count if you are trading OHLC Charts from 1D onwards , or if your trading is intraday, you can also select counts by MINUTES , HOURS or DAYS , depending on your trading style.
4) LENGTH , by default it will be loaded as in the STRATEGY , but considering the previous point, you can modify it according to your convenience.
5) You have the option to hide or show the HISTOGRAM or even the MACD if you want to see one of them.
6) You have the option to hide or show a LABEL at the top of the chart, with respect to the signals: BULLISH green, BEARISH red.
Main performance functions of this modified indicator:
I) In the case of the PERFORMANCE that appears at the right of the chart, you have the option to adjust the WIDTH of each box.
II) The TEXT of the PERFORMANCE is not modifiable, but you can customize the default color. *
III) The BACKGROUND of the PERFORMANCE , you can customize the default color. *
IV) You have the option to hide or show a PERFORMANCE that appears at the right of the chart.
Main functions to customize the style of this indicator:
a) You can select the colors for the FAST LENGTH , SLOW LENGTH AND HISTOGRAM with the colors that best suit you. * **
b) For any type of SIGNAL , it is painted as a VERTICAL LINE in the graph, you can change the color that comes by default. *
c) In the case of the LABELS that appear at the top, the text is not modifiable, but you can customize both the type of label and change the default color. *
d) You can select the colors for the BACKGROUND of the indicator according to the trend, whether it is BEARISH or BULLISH , with the colors that best suit you. *
e) You can select the color for the ZERO LEVEL , with the colors that best suit you.
* By default, they are marked as red for downtrends and green for uptrends.
** By default, they are marked as orange for downtrends and blue for uptrends.
MACD Moving Average Convergence/Divergence - DurbtradeDurbtrade MACD - macd line changes color based on vertical direction. This makes it easier to see and discern movements and also helps the indicator to retain maximum functionality when taking up less chart real estate (also, having the color change really helps me see charts on small screens... such as when it's bright outside and I'm driving in my car and glancing at a chart on my phone... it helps having the info pop visually). A fill option is included to fill the space between the macd and signal lines, though I personally prefer to disable this function. Also, you get a zero line if you want it, and it doesn't extend past the current time, removing unnecessary info and keeping your chart looking a bit cleaner. Finally, there are color-coded, cross-over and cross-under background fills, signaling when the macd line crosses the signal line.
This is my 2nd published script, and 2nd script ever. If you like this style, see my 1st published script: Durbtrade Bollinger Bands Width.
Hope you find this useful.
Feel free to comment.
MACD-ASHello All,
This the script for Moving Average Convergence Divergence – MACD of Thomas Aspray, and called as MACD-AS and you may get earlier signals than MACD.
As MACD and MACD-AS are trend following indicators, they do not function well in sideway markets.
An example how it gets earlier signals than MACD
Good luck!
MACD with divergence signalsIts an MACD indicator which highlights places where macd and signal line cross and hidden divergence ocures.
Logic behind it is to check if we have hidden divergence when crossing of that two lines and if above EMA200 (signal for BUY - green) or if below EMA200 (signal for SELL - red).
You can change lenght of EMA but i think 200 is a simpliest trend indicator.
RCV-MACRSThe main oscillator (orange/blue) histogram is the RCV-MACRS (Relative Candle Volatility driven MACD modulated RSI) -- basically a sensitive indicator of volatility trends.
The yellow/lavender colored oscillator is a proprietary asymmetric differential oscillator (ADO) which is modulated by the main oscillator. When this (thinner line) secondary oscillator is > 0, it is yellow; and when it is < 0, it is lavender. The user can select the order of the differential (i.e. Order 1 = Momentum, Order 2 = Acceleration, Order 3 = Jerk, Order 4 = Snap, Order 5 = Crackle, Order 6 = Pop). This oscillator provides details of the more subtle underlying/hidden trends that is emerging or brewing, and may hint of an incoming move ahead of time. Divergence in the sign and slope of this secondary oscillator with respect to the main oscillator may provide a useful edge for trade setup.
A (thick transparent maroon) volume-momentum oscillator is also provided (which can be switch to the volume oscillator in the settings).
A cluster of circle markers may indicate a significant price swing incoming.
The red background-highlights indicate periods of low volume and volatility.