Guppy MMA Mean Reversion SignalsThe Guppy MMA Mean Reversion System is a trend-following mean reversion tool designed to identify high-probability pullbacks within established trends. By combining the classic Guppy Multiple Moving Average (GMMA) with volatility, volume, and momentum filters, this script aims to reduce the "noise" often found in standard moving average cross strategies.
The Concept: Why this Works
Standard GMMA indicators are excellent for visualizing trend strength but often lack precise entry triggers or filters to avoid entering during periods of low volume or extreme exhaustion. This script addresses these limitations by integrating four distinct analytical components:
- GMMA Ribbons (Trend & Reversion Zones) : We use two groups of EMAs (Short-term and Long-term). The Long-term group defines the "institutional" trend. Our entry logic looks for price to revert from the short-term trend back into the long-term trend zone—a classic sign of a healthy pullback.
- CVD Confluence (Volume Confirmation) : Using Cumulative Volume Delta (CVD) based on candle-body delta approximations, the script ensures that volume flow supports the entry direction. This prevents entering pullbacks that lack the necessary buying/selling pressure to resume the trend.
- ATR Volatility Filter (Statistical Spacing) : To avoid "choppy" entries, this filter requires the price to be at a statistically significant distance from the EMA based on market volatility (ATR). This ensures you are entering at a true "discount" rather than in a sideways market.
- RSI Exhaustion Filter (Momentum Safety) : We utilize RSI to ensure that a reversion hasn't reached an overextended state. For example, it prevents buying a pullback if the RSI indicates the asset is already in an overbought exhaustion phase.
How to Use
- Long Entries (Green Circles) : Triggers when the Long-term ribbon is bullish, and price pulls back to touch the Long-term EMA group, provided the CVD, ATR, and RSI conditions are met.
- Short Entries (Red Circles) : Triggers when the Long-term ribbon is bearish, and price rallies to touch the Long-term EMA group, filtered by volume and momentum.
- Exits (Labels) : Exit signals appear when price successfully reverts back to the "fast" Short-term group, marking the completion of the mean reversion move.
Key Features & Customization
- Independent Toggles : You can independently turn on/off buy signals, sell signals, and their respective exits to suit your specific trading style (e.g., only trading the long side).
- Signal Cooldown : Includes a customizable "bar count" cooldown to prevent multiple overlapping signals during high-volatility periods.
- Comprehensive Settings : Fully adjustable EMA lengths, ATR multipliers, and RSI thresholds to adapt the system to different timeframes and asset classes (Crypto, Forex, Stocks).
Settings Guide
- Use ATR Filter : Increase the multiplier for more conservative, wider entries.
- Use CVD Filter : Enable to ensure volume delta is trending with your entry.
- Use RSI Filter : Helps avoid "catching falling knives" by filtering out trades during extreme momentum spikes. Indicator
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GMMA Toolkit [QuantVue]The GMMA Toolkit is designed to leverage the principles of the Guppy Multiple Moving Average (GMMA). This indicator is equipped with multiple features to help traders identify trends, reversals, and periods of market compression.
The Guppy Multiple Moving Average (GMMA) is a technical analysis tool developed by Australian trader and author Daryl Guppy in the late 1990s.
It utilizes two sets of Exponential Moving Averages (EMAs) to capture both short-term and long-term market trends. The short-term EMAs represent the activity of traders, while the long-term EMAs reflect the behavior of investors.
By analyzing the interaction between these two groups of EMAs, traders can identify the strength and direction of trends, as well as potential reversals.
Due to the nature of GMMA, charts can become cluttered with numerous lines, making analysis challenging.
However, this indicator simplifies visualization by using clouds to represent the short-term and long-term EMA groups, determined by filling the area between the maximum and minimum EMAs in each group.
The GMMA Toolkit goes a step further and includes an oscillator that measures the difference between the average short-term and long-term EMAs, providing a clear visual representation of trend strength and direction.
The farther the oscillator is from the 0 level, the stronger the trend. It is plotted on a separate panel with values above zero indicating bullish conditions and values below zero indicating bearish conditions.
The inclusion of the oscillator in the GMMA Toolkit allows traders to identify earlier buy and sell signals based on the GMMA oscillator crossing the zero line compared to traditional crossover methods.
Lastly, the GMMA Toolkit features compression dots that indicate periods of market consolidation.
By measuring the spread between the maximum and minimum EMAs within both short-term and long-term groups, the indicator identifies when these spreads are significantly narrower than average by comparing the current spread to the average spread over a lookback period.
This visual cue helps traders anticipate potential breakout or breakdown scenarios, enhancing their ability to react to imminent trend changes.
By simplifying the visualization of the Guppy Multiple Moving Averages with clouds, providing earlier buy and sell signals through the oscillator, and highlighting periods of market consolidation with compression dots, this toolkit offers traders insightful tools for navigating market trends and potential reversals.
Give this indicator a BOOST and COMMENT your thoughts below!
We hope you enjoy.
Cheers! Indicator
Kernel Regression RibbonKernel Regression Ribbon is a flexible, visually pleasing trend identification tool. Plotting 8 different kernel regressions of different types and parameters allows the user to see where levels of support and resistance are being tested, retested and broken.
What’s Kernel Regression?
A statistical method for estimating the best fitting curve for a dataset, in this case, a time/price chart.
How’s Kernel Regression different from a Moving Average?
A Moving Average is basically a simple form of Kernel Regression, in that it uses a fixed (Retangular) Kernel function. In an MA, all data points are weighted equally over its length. However, a Kernel function reacts more to data points that are closer to the current point. This means it will adapt more quickly to changes in data than an MA. Due to this adaptability, Kernel functions often form part of Machine Learning.
Using this indicator:
Explore the default Regular mode first to get a feel for the inputs, which are more numerous than for MAs. Try out different settings, filters and intervals to get the best out of each kernel. Not all parameters are available for each KR. There are info tips to explain this in the menu, but I’ve also included handy, optional labels on the chart for each KR as a more accessible guide.
Once you know your way round the Regular mode, check out the Presets and start changing the parameters of each kernel to your liking in the “User KR1, KR2, … “ mode. Each kernel type has its strong and weak points. Blending different kernels is where this indicator comes into its own. Give your charts a funky shine!
This indicator does NOT repaint.
This script acknowledges, and hopefully showcases, the great work of @veryfid Kernel Regression Toolkit.
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Munich GuppyWELCOME to the Munich Guppy!
This is a simple moving average indicator that will help you determine the trend of your chart using historical moving averages.
The indicator consists of 3 EMA's and one ALMA moving average. Using these 4 moving averages I have programmed the relationship between the moving averages to color the background of your chart.
If your background is red, this means that the alma moving average has fallen below the EMA's (EMA1 and EMA 2) as well as (EMA 1 and EMA 2) are postured in a down trending/up trending fashion
For example, the 21EMA is greater than the 55EMA, this signals that the chart has been outperforming its intermediate averages. Now if the ALMA is below both the 21ema and 55ema, in this instance, your chart background will become green.
The ALMA has color options '+CoC' and '-Coc', this simply means if the candle closes below the alma, it will turn red, if closure above it will turn green.
EMA 3 which is default set to 200, has no affect on the color of the background.
Now I hope I have thoroughly explained the simplicity of this indicator, if you have any questions leave them below or private message me for any other requests,
Good Trading!
-CheatCode1 Indicator
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User Selectable Moving Average GuppyA version of the popular "Moving Average Ribbon" or "Guppy" indicators, except nearly everything about it is user selectable. The user can change the source, period, and type of moving average used for every single line on the chart. Note: The visuals are fairly intensive and may take a moment to catch up after adjusting settings.
Credit: This script utilizes the "Color Gradient Framework" tutorial by LucF (PineCoders) to create gradient visuals, which are also customizable for the user.
Moving Average Options:
Running (SMoothed) Moving Average (RMA or SMMA) - Slowest
Simple Moving Average (SMA) - Slow
Exponential Moving Average (EMA) - Responds faster to price than SMA
Weighted Moving Average (WMA)
Volume-Weighted Moving Average (VWMA)
Triple EMA (TEMA)
Exponential Hull Moving Average (EHMA) - Hull with Smoothing (Slower than Hull)
Least Squares Moving Average (LSMA) - Simple Linear Regression
Arnaud Legoux Moving Average (ALMA) - Adjustable, set offset=1 to be current, offset=0.85 for good smoothing (Slower)
Hull Moving Average (HMA) - Normally responds fastest to price of all options
Value Added :
This script is unique in that it allows the user to chart the "Guppy", except nearly everything about it is customizable. The user can change the source, period, and type of moving average used for every single line.
Typically, the Guppy is plotted with simple moving average or exponential moving average, which respond much slower to price than the Hull Moving Average, which this indicator uses as default. (Elimination of lag)
The Hull MA settings for the highest time frame moving averages should work well for assessing the overall macro trend, with a nice visual presentation. Additional labels and alerts for the macro trend are available.
Furthermore, this script provides many more options for type of moving average than is typical for a moving average indicator that provides the user with options, including advanced options such as Hull, TEMA, and ALMA.
The visual presentation is customizable and should provide some entertainment for users who want to create pretty charts.
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[A7] Fibonacci EMAs (8,21,34,55,89,233) Fibonacci EMAs (8,21,34,55,89,233)
Fibonacci Exponential Moving Averages
8 - aqua
21 - green
34 - blue
55 - yellow
89 - purple
233 - red Indicator
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[blackcat] L1 Bitcoin Guppy Whale Pump Dump OscillatorLevel: 1
Background
The Guppy Multiple Moving Average (GMMA) is a technical indicator that identifies changing trends, breakouts, and trading opportunities in the price of an asset by combining two sets of moving averages (MA) with different time periods. There is a short term group of MAs and a long term group of MAs.
One of the biggest differences between cryptocurrency and traditional financial markets is that cryptocurrency is based on blockchain technology. Individual investors can discover the direction of the flow of large funds through on-chain transfers. These large funds are often referred to as Whale. Whale can have a significant impact on the price movements of cryptocurrencies, especially Bitcoin . Therefore, how to monitor Whale trends is of great significance both in terms of fundamentals and technical aspects.
Function
L1 Bitcoin Guppy Whale Pump Dump Oscillator is innovative because it was moved from main chart to aux chart and the input source of Guppy moving average was changed in to bias rate of key EMAs. This makes it work as a Guppy oscillator. This Guppy oscillator was designed and optimized to detect whale pump and dump behavior for BTCUSD or BTCUSDT trading pairs. When whale pump is detected, yellow candles appear; when whale dump is detected, fuchsia candles appear.
Key Signal
di,d1~d8 ---> Guppy oscillator lines
pump --> whale pump detector
dump --> whale dump detector
Pros and Cons
Pros:
1. easy observe price trend
2. it detects whale pump and dump
Cons:
1. no explicit entries are disclosed
2. only optimized for Bitcoin usd/usdt trading pairs
Remarks
Courtesy of @LunaOwl " Rainbow Color Gradient" for colorful Guppy oscillator lines in this script
Readme
In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.
The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works.
Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element.
Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level.
Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated.
Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop.
Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy. Indicator
[blackcat] L1 GMMA Long EntryLevel: 1
Background
The Guppy Multiple Moving Average (GMMA) is a technical indicator that identifies changing trends, breakouts, and trading opportunities in the price of an asset by combining two sets of moving averages (MA) with different time periods. There is a short term group of MAs and a long term group of MAs.
Function
L1 GMMA Long Entry classify short-mid term GMMA cluster and long term GMMA cluster with key Fibnocci numbers. Long entry signal is generated with GMMA cluster relationship.
Key Signal
Long entry 1~6 ---> Long entry signal generated with GMMA cluster relationship.
Pros and Cons
Pros:
1. easy observe price trend
2. it covers short, middle and long term trend analysis
Cons:
1. Only long entry signal is disclosed here
2. No complex trading strategy is used yet
Remarks
NA
Readme
In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.
The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works.
Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element.
Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level.
Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated.
Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop.
Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy. Indicator
Strategy
Volatility GuppyBased on my previous script "Turtle N Normalized," this script plots the CM SuperGuppy on the value of N to identify changing trends in the volatility of any instrument.
Turtle rules taken from an online PDF:
"The Turtles used a concept that Richard Dennis and Bill Eckhardt called N to represent the underlying volatility of a particular market.
N is simply the 20-day exponential moving average of the True Range, which is now more commonly known as the ATR. Conceptually, N represents the average range in price movement that a particular market makes in a single day, accounting for opening gaps. N was measured in the same points as the underlying contract.
The Turtles built positions in pieces which we called Units. Units were sized so that 1 N represented 1% of the account equity. Thus, a unit for a given market or commodity can be calculated using the following formula:
Unit = 1% of Account/(N x Dollars per Point)"
To normalize the Unit formula, this script instead takes the value of (close/N). Dollars per point = 1 for stocks and crypto, but will change depending on the contract specifications for individual futures .
"Since the Turtles used the Unit as the base measure for position size, and since those units were volatility risk adjusted, the Unit was a measure of both the risk of a position, and of the entire portfolio of positions."
When the EMA's are green, volatility is decreasing.
When the EMA's are red, volatility is increasing.
When the EMA's are grey, the trend is changing. Indicator
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