Democratic Fibonacci McGinley DynamicsWith this indicator, we have taken McGinley Dynamic lines at Fibonacci lengths (3 to 233) as well as the average of these values, labeled the DFMG (Democratic Fib. McGinley). Additionally, these values have been inputted into a table overlay. The cross of the FibMG(233) and the DFMG can be used as a signal for long or short.
The FibMG lengths of 3 and 233 are plotted in white by default, the FibMGs with lengths between 3 and 233 are plotted in blue by default, and the democratic line (DFMG) that averages these lines is plotted in green or red depending on if the value is above or below the 233-length FibMG.
This is the same indicator as our DFMA except using McGinley Dynamic lines as opposed to exponential moving averages.
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McGinley Dynamic x Donchian ChannelsThis indicator combines the McGinley Dynamic and Donchian Channels by taking the lowest and highest values over a set length (defaulted to 14) then applying the McGinley Dynamic math to these values. The upper range is denoted by a green line while the lower range is denoted by a red line. Additionally, standard deviations of 1, 2, and 3 have been put in place using the upper and lower values as the basis for the deviations as opposed to the baseline average of the upper and lower bands. These deviations are plotted as lime and orange colors. These channels can be used to determine when the price is gaining or losing momentum based on the distance between the channels. Otherwise, the channels can be used to determine potential overbought and oversold levels.
McGinley Dynamic [Loxx]The McGinley Dynamic indicator is a type of moving average that was designed to track the market better than existing moving average indicators. It is a technical indicator that improves upon moving average lines by adjusting for shifts in market speed.
Included:
- Various average modes to fine-tune the signal
This is an exact clone of the McGinley Dynamic MT4 indicator
3 McGinley DynamicI recently found out about McGinley dynamic and its capability to respond better to market's speed changes when compared with EMA. I was doing some tests on previous charts and I've noticed that according with the risk you want to take there are different intervals which can suits you. For example MG3 is very responsive, I've noticed that it's better if you want to enter long positions, on the other side is unreliable for shorting. Mg10 is instead the slower one but I've noticed is perfect for shorting and opposed to Mg3 tends to identify upper trends too late making the investor losing profit. I've introduced Mg7 to make comparison with the others, when you're uncertain between 3 and 10 you can compare them with the 7.
I encourage everyone to define its own strategy, I've just explained how I'm gonna use it. Do your tests before using it otherwise you could lose money.
McGinley Dynamic (Improved) - John R. McGinley, Jr.For all the McGinley enthusiasts out there, this is my improved version of the "McGinley Dynamic", originally formulated and publicized in 1990 by John R. McGinley, Jr. Prior to this release, I recently had an encounter with a member request regarding the reliability and stability of the general algorithm. Years ago, I attempted to discover the root of it's inconsistency, but success was not possible until now. Being no stranger to a good old fashioned computational crisis, I revisited it with considerable contemplation.
I discovered a lack of constraints in the formulation that either caused the algorithm to implode to near zero and zero OR it could explosively enlarge to near infinite values during unusual price action volatility conditions, occurring on different time frames. A numeric E-notation in a moving average doesn't mean a stock just shot up in excess of a few quintillion in value from just "10ish" moments ago. Anyone experienced with the usual McGinley Dynamic, has probably encountered this with dynamically dramatic surprises in their chart, destroying it's usability.
Well, I believe I have found an answer to this dilemma of 'susceptibility to miscalculation', to provide what is most likely McGinley's whole hearted intention. It required upgrading the formulation with two constraints applied to it using min/max() functions. Let me explain why below.
When using base numbers with an exponent to the power of four, some miniature numbers smaller than one can numerically collapse to near 0 values, or even 0.0 itself. A denominator of zero will always give any computational device a horribly bad day, not to mention the developer. Let this be an EASY lesson in computational division, I often entertainingly express to others. You have heard the terminology "$#|T happens!🙂" right? In the programming realm, "AnyNumber/0.0 CAN happen!🤪" too, and it happens "A LOT" unexpectedly, even when it's highly improbable. On the other hand, numbers a bit larger than 2 with the power of four can tremendously expand rapidly to the numeric limits of 64-bit processing, generating ginormous spikes on a chart.
The ephemeral presence of one OR both of those potentials now has a combined satisfactory remedy, AND you as TV members now have it, endowed with the ever evolving "Power of Pine". Oh yeah, this one plots from bar_index==0 too. It also has experimental settings tweaks to play with, that may reveal untapped potential of this formulation. This function now has gain of function capabilities, NOT to be confused with viral gain of function enhancements from reckless BSL-4 leaking laboratories that need to be eternally abolished from this planet. Although, I do have hopes this imd() function has the potential to go viral. I believe this improved function may have utility in the future by developers of the TradingView community. You have the source, and use it wisely...
I included an generic ema() plot for a basic comparison, ultimately unveiling some of this algorithm's unique characteristics differing on a variety of time frames. Also another unconstrained function is included to display some the disparities of having no limitations on a divisor in the calculation. I strongly advise against the use of umd() in any published script. There is simply just no reason to even ponder using it. I also included notes in the script to warn against this. It's funny now, but some folks don't always read/understand my advisories... You have been warned!
NOTICE: You have absolute freedom to use this source code any way you see fit within your new Pine projects, and that includes TV themselves. You don't have to ask for my permission to reuse this improved function in your published scripts, simply because I have better things to do than answer requests for the reuse of this simplistic imd() function. Sufficient accreditation regarding this script and compliance with "TV's House Rules" regarding code reuse, is as easy as copying the entire function as is. Fair enough? Good! I have a backlog of "computational crises" to contend with, including another one during the writing of this elaborate description.
When available time provides itself, I will consider your inquiries, thoughts, and concepts presented below in the comments section, should you have any questions or comments regarding this indicator. When my indicators achieve more prevalent use by TV members, I may implement more ideas when they present themselves as worthy additions. Have a profitable future everyone!
McGinley Dynamic Indicator This is a strategy based on the Mcginley Dynamic Moving Average indicator, a type of moving average that was designed to track the market better than existing moving average indicators. It is a technical indicator that improves upon moving average lines by adjusting for shifts in market speed.
Moving averages used:
EMA: 21
EMA: 42
The chart used for the backtest was the Bovespa Futures Index ( WIN1! Continuous: current contract in front )
McGinley Dynamic IndicatorMcGinley Dynamic is a technical indicator developed by a market technician, R. McGinley in 1997
I based my indicator from code by everget so you should go follow him if you aren't already!
I had issues with the default version of this indicator using different lengths so this is my fix for those issues. This follows the price very closely especially when the stock is falling. I have color coded so go long when it is green and short when it is red.
Let me know if you would like me to write any other scripts for indicators out there!
McGinley Dynamic VWAP/MVWAP [Dayasagar]Mcginley Dynamics and Volume weighted moving average
Timeframe: 1 hour
Use 200 MA
Buy: If the price is above 200 MA, take only the buy signal.
Sell: If the price is below 200 MA, take only the sell signal.
McGinley Dynamic Band DTThis indicator consists of 2 x McGinley Dynamic moving averages with the ability to fill the area between the 2 MA lines.
The McGinley Dynamic MA is a very powerful tool that has many applications and can be a great addition to a traders arsenal if you're interested in it I suggest doing a bit of research.
I personally use this indicator in addition to the other indicators in my algorithm as a method of filtering out ranging trades, thus I will not enter a trade if the price is within the colour filled area
When using this indicator don't forget to adjust the inputs to find the best settings to suit your trading method, timeframe and personality.
The source code is available to use and modify as you wish.
Enjoy
FALSE BREAKOUT NO PROBLEM !! CHK TWIN MOV AVG SEGREGATED RIBBON PROBLEM DEFINITION 1 : To Avoid False Breakouts
PROBLEM DEFINITION 2 : To Ascertain if the trend has changed when a Stock opens with a Gap up or Gap Down
## PROBABLE SOLUTION : Use a Moving Average with lot of latency
## PROBLEM WITH ABOVE SOLUTION : Misses on lot of trades, Late exits leads to drain on winning trades
S O L U T I O N
An Indicator which plots two different types of Moving Averages at the same time
For the MA length 5-100 a fast plot of choice
For the MA Length 110-200 a plot with a lag to ascertain the trend
And then ONE LAST MAN STANDING with even bigger MA length for a lagging indicator to save the day
This indicator gives one 9X9 = 81 Permutation Combinations to look at the markets
One can devise strategies basis if one particular MA Type has crossed another MA Type
Feel free to post the strategies you have come out with!
//// CREDITS AND ACKNOWLEDGEMENTS //////////////////////////////////////////////////////////////////
Following contributors helped the author ::
Credits to Neobutane for his Multiple Type Mov. Avg. Guppy at ......
hxxps://www.tradingview.c0m/script/UQAv1U0c-MA-Study-Different-Types-and-More-NeoButane/
Credits to Jose5770 for sharing Jurik MA code at .....
hxxps://www.tradingview.c0m/script/uqYvkHna-Trend-Direction-Force-Index/
Appreciate and Thank You for sharing your work.
//////////////////////////////////////////////////////////////////////////////////////////////////////
P.S You might notice in the code that the few plots are skipped. It is done to fasten the indicator without compromising
on the functionality
McGinley Dynamic Convergence/Divergence [ChuckBanger]This is a MACD version with MaGinley Dynamic indicator invented by John R. McGinley. MaGinley Dynamic can be used as a moving average and is a highly reliable indicator. Here i use it instead of EMA witch normally is used to calculate MACD.
For more information of MaGinley Dynamic
www.investopedia.com
Trend is your friendThis indicator evaluates the trend based on crosses of two McGinley moving averages. It paints candles accordingly (it does not repaint), so you can see what the indicator is saying more clearly and stay in your trade until you see a period of consolidation or a reversal. You can control how far away those moving averages need to be for you to consider it a trend. If this distance is not met candles color is not changed and it shows you that the market is in a period of consolidation. I also added visualization of RSI, so you can have an easier time finding appropriate profit targets. For stop loss I would recommend placing it a couple points above or below the previous high / low that is located above / below you final target for entry. You can also use a certain percentage that works for you. I tried adding a stop loss based on ATR, but I did not like the results. Using market structure is a better choice in my opinion.
Here is a basic trading strategy for the default settings:
Wait for the indicator to start printing a series of green or red candles. After that you can enter a long or a short around moving averages. Another valid place to entry is the specific RSI zone. If we are in an uptrend buying when RSI is oversold can be beneficial as you expect market to recover. I do not recommend changing RSI from 14. Vice versa for the downtrend. It gives you an edge as you know at what price RSI will be oversold and allows you to place trades in advance. Pretty neat! You need to realize that no indicator or strategy can give you an exact entry. There will always be some margin of error. What I wanted to say is that if there is a strong trend up and you buy around your key moving averages and when RSI is oversold you entered in good places and there is a pretty good chance you will make money.
Time frame settings:
If you want to use tighter stop losses I would recommend sticking to 15m. Do not go lower. It is not worth the stress. 1h and 4h seems to be very good as well, but expect your stop losses to be wider. What I personally tend to do is display 15m, 30m and 1h and compare it. Think of it as a short, mid and long term. That way you can see things little bit better.
Examples:
1H chart BTC
4h chart EUR / USD
1D chart NASDAQ
15m chart BTC (Daytrading)
That last chart shows that even if you were longing while the trend was about to change you still had a good chance to close it with a little profit and switch to short easily. The default settings is what has worked the best for me. Feel free to change them as you see fit and do not forget to let me know if you find something that works better :)
Notes:
Either disable wick display or change it to a neutral color like gray for both green and red candles. Unfortunately pine script does not allow wick painting, so if you have red / green wicks it will look terrible. If RSI visualization makes your candles look too small you can go to settings and disable the display of individual RSI levels. You will still be able to see the zones, but the scale won't be affected.
McGinley Dynamic FixedIgnores first x amount of bars to include in the calculation to prevent McGinley Dynamic from staying a flat line.
Usage:
The length is equal to 60% of regular length, for ex. 30EMA is input as 18 length
Trend tool, not ideal as a signal tool
McGinley Dynamic VWAP/MVWAP [NeoButane]The main concept for creating this was to completely remove the whipsaw nature of VWAP by introducing lag.
References:
www.investopedia.com
www.investopedia.com
www.investopedia.com
MA Study: Different Types and More [NeoButane]A study of moving averages that utilizes different tricks I've learned to optimize them. Included is Bollinger Bands, Guppy (GMMA) and Super Guppy.
The method used to make it MtF should be more precise and smoother than regular MtF methods that use the security function. For intraday timeframes, each number represents each hour, with 24 equal to 1 day. For daily, 3 is 3 day, for weekly, 4 is the 4 weekly, etc. If you're on a higher timeframe than the one selected, the length will not change.
Log-space is used to make calculations work on many cryptos. The rules for color changing Guppy is changed to make it not as choppy on MAs other than EMA. Note that length does not affect SWMA and VWAP and source does not affect VWAP.
A short summary of each moving average can be found here: medium.com
List of included MAs:
ALMA: Arnaud Legoux
Double EMA
EMA: Exponential
Hull MA
KAMA: Kaufman Adaptive
Linear Regression Curve
LSMA: Least Squares
SMA: Simple
SMMA/RMA: Smoothed/Running
SWMA: Symm. Weighted
TMA: Triangular
Triple EMA
VWMA: Volume Weighted
WMA: Weighted
ZLEMA: Zero Lag
VWAP: Vol Weighted Average
Welles Wilder MA
MTF Polarity Grid [DW]This is an experimental study designed to track directional polarities across multiple timeframes and express them as a simple two color grid.
The polarity in this calculation is determined by divergence between a fast and slow McGinley Dynamic.
Your current resolution's polarity is the top row, the rows below are are for higher timeframes of your choice.
Dynamic Range Channel [DW]This is an experimental study that utilizes Kaufman's Adaptive Moving Average and the McGinley Dynamic.
First, a fast and slow KAMA based McGinley Dynamic are calculated. The divergence between them is used to indicate wave direction.
The channel's bounds are calculated by taking the highest high and lowest low of the slow McGinley Dynamic over a specified channel period.
The dynamic midline is calculated by taking the mean of the highest and lowest values over the specified channel period.
Custom bar colors are included.
Also includes Williams Fractals for additional confirmation signals.
Idō Heikin Ichimoku [DW]This is an experimental study inspired by Goichi Hosoda's Ichimoku Kinkō Hyō.
In this study, a McGinley Dynamic replaces the Tenkan-Sen and Kaufman's Adaptive Moving Average replaces the Kijun-Sen.
The cloud is calculated by taking the mean of the highest high and lowest low, adding a golden mean standard deviation above and below, and offsetting it over the specified period.
The lagging span is calculated by offsetting the closing price by the same amount as the cloud period.
MgGinley Dynamic Divergence [DW]This is an experimental study designed to visualize momentum and average range by expressing divergences between price and a McGinley Dynamic as a percentage.
Disparity Index [DW]This is an iteration of Steve Nison's Disparity Index that includes 5 different moving average types to choose from.