Trading Rush Signals & AlertsThis is an unofficial script for strategies tested on TRADING RUSH Youtube channel. Over time, most successful strategies will be added with an option to set strategy-specific alerts . Trading Rush Signals & Alerts will draw signals on the chart when the entry conditions are met. You can also opt for displaying indicators .
My script is meant for beginners but can be used by veterans too. Just pick only one or two strategies, you don't want to flood your chart with conflicting signals. You may want to support your trades with a proper analysis. If a new signal occurs when there is still an open position, you are not supposed to take another.
The current version includes MACD and Donchian Channels.
MACD strategy:
►Buy, when MACD crosses below the signal line when it is negative. The price must also be above 200 EMA.
►Sell, when MACD crosses above the signal line when it is positive. The price must also be below 200 EMA.
►This strategy was tested on 30-minute charts of EURUSD and EURJPY with reward-to-risk ratio 1,5 and win rate of 62% over 100 trades .
►►►MACD has to be added to your chart separately because it needs a new window. Indicators displaying will not add this indicator to the chart.
Donchian Channels strategy:
►Buy, when the price breaches Donchian to the upside after making a new low. The price must also be above 200 EMA.
►Sell, when the price breaches Donchian to the downside after making a new high. The price must also be below 200 EMA.
►Stop-loss is Donchian bottom for long and Donchian top for shorts. Check the channel for more information.
►This strategy was tested on 30-minute charts of EURUSD with reward-to-risk ratio 1,5 and win rate of 58% over 100 trades .
►►►I programmed alerts for Donchians to come ahead of an actual breach. If you often leave the screen when trading, this will help you. The necessary downside for that is the alerts might come when the signal doesn't trigger in the end. You will see a mark on the chart if the conditions are truly met.
Bear in mind that backtesting performance doesn't guarantee future profitability. • Most systematic strategies are not suitable for any timeframe. • You should perform your own backtest to base your trades on more data & to establish confidence in the selected strategy.
New strategies will be added when I have time. If I see multiple people asking for the same new feature, I might agree to release it with a new version. I am not going to add input options in this script, it could come as a separate script though. I am in no way affiliated with the Youtubechannel , so if you find the script helpful, shot me a message or send me some TradingView coins >)
If you encounter any bug, you can report it in a message or in comments. Support it with screenshot and relevant information such as a time when it occurred and what options were on etc.
指數移動平均線(EMA)
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.
Resampling Filter Pack [DW]This is an experimental study that calculates filter values at user defined sample rates.
This study is aimed to provide users with alternative functions for filtering price at custom sample rates.
First, source data is resampled using the desired rate and cycle offset. The highest possible rate is 1 bar per sample (BPS).
There are three resampling methods to choose from:
-> BPS - Resamples based on the number of bars.
-> Interval - Resamples based on time in multiples of current charting timeframe.
-> PA - Resamples based on changes in price action by a specified size. The PA algorithm in this script is derived from my Range Filter algorithm.
The range for PA method can be sized in points, pips, ticks, % of price, ATR, average change, and absolute quantity.
Then, the data is passed through one of my custom built filter functions designed to calculate filter values upon trigger conditions rather than bars.
In this study, these functions are used to calculate resampled prices based on bar rates, but they can be used and modified for a number of purposes.
The available conditional sampling filters in this study are:
-> Simple Moving Average (SMA)
-> Exponential Moving Average (EMA)
-> Zero Lag Exponential Moving Average (ZLEMA)
-> Double Exponential Moving Average (DEMA)
-> Rolling Moving Average (RMA)
-> Weighted Moving Average (WMA)
-> Hull Moving Average (HMA)
-> Exponentially Weighted Hull Moving Average (EWHMA)
-> Two Pole Butterworth Low Pass Filter (BLP)
-> Two Pole Gaussian Low Pass Filter (GLP)
-> Super Smoother Filter (SSF)
Downsampling is a powerful filtering approach that can be applied in numerous ways. However, it does suffer from a trade off, like most studies do.
Reducing the sample rate will completely eliminate certain levels of noise, at the cost of some spectral distortion. The lower your sample rate is, the more distortion you'll see.
With that being said, for analyzing trends, downsampling may prove to be one of your best friends!
Turtle N NormalizedSimple script that calculates the normalized value of N. Rules taken from an online PDF containing the original Turtle system:
"The Turtles used a volatility-based constant percentage risk position sizing algorithm. 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 value of N is high, volatility is low and you should be more risk-on.
When the value of N is low, volatility is high and you should be more risk-off.
Momentum Adjusted EMA TrendThe script draws a moving average which responds to trend changes extraordinary fast!
It's calculated using Momentum, Acceleration and Probability (Psychological Effect) by interfering the Golden Ratio!
I got the idea thanks to Tradingview user DGT (dgtrd) and his/her excellent descriptions.
The indicator is simplified for users and the default settings work great, so use it as you like specially as a trend indicator.
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!
CryptoScalp v2.1CryptoScalp is a script that will allow us to identify possible entries while we do scalping, it is not of absolute truth but rather marks us a possible entry, the decision to enter or not is ours!
To use it, just add it to the graph we want to analyze, it has the following values preconfigured:
Bollinger Bands (BB Length): 20
Fast EMA (EMA 0 Length): 13
Slow EMA (EMA 1 Length): 36
EMA 2 (support | resistance): 200
EMA 2 Period (only appears in the configured period, 4h): 240
Volume MA: 10
Playing with these values will allow us to find our strategy.
How does the script work?
Basically, to mark a possible entry, in principle it controls that the Volume exceeds the Average of the configured Volume (Volume MA), and after the fast EMA (EMA 0) crosses over the slow EMA (EMA 1), if these conditions are met, it paints a background bar to identify a simple look at the crossing, and as said at the beginning, the decision is ours!
I hope it will be of help to you as it is being for me!
Moving Average Colored EMA/3 SMA1. Updated this available script to have 2 SMA's and 2 EMA's.
2. Revised so that plot turns white when flat.
3. Added Trend Gain to control what slope "flat" has for different TF's.
EMA Difference MinMax ScaledDifference between two EMAs and then transformed through a MinMax scaler
5-8-13 & 20-200 EMA Cross Over1) Popular EMA cross over combined as on indicator daily time frame
2) 5-8-13 for Swing 3EB- Bullish 3ES - Bearish
3) 20-200 EMA Cross over called as multi-bagger cross over with an inverted triangle in a smaller period of time
MEB - Bullish 20 ema crossed 200 ema, MES - Bearish vice versa
4) Simultaneously 20 50 are plotted in the graph as user input can be changed to according to user specific
Slim Ribbon Volume BarsThe Slim Ribbon Volume Bars indicator is intended to be paired with the Slim Ribbon. The Slim Ribbon is also available for free in TradingView. The Slim Ribbon Volume Bars indicator changes the color of the volume bars based on the momentum condition of the Slim Ribbon. When the Ribbons have a bullish condition, the indicator colors the volume bars green. When the Ribbons have a bearish condition, the indicator colors the volume bars red. Finally, when the Ribbons have a neutral condition, the indicator colors the volume bars gray. See below for an overview of the Slim Ribbon.
The Slim Ribbon was developed by Steve Miller. Steve Miller is a 46-year veteran stock, futures and options trader. His badge on the trading floor was his initials, “SLM” and has since gone by the nickname Slim.
The Slim Ribbon is a momentum indicator . It is composed of 3 exponential moving averages (8, 13 and 21). A bullish condition occurs when the 8 period MA is above the 13 period MA and the 13 period MA is above the 21 period MA. A bearish condition occurs when the 8 period MA is below the 13 period MA and the 13 period MA is below the 21 period MA. A neutral condition occurs when the Ribbons are not in alignment.
The Slim Ribbon also notifies you when we transition from one condition to another. A green up arrow indicates that the Slim Ribbon has shifted from a neutral condition to a bullish condition. A red down arrow indicates that the Slim Ribbon has shifted from a neutral condition to a bearish condition. A blue up arrow indicates that we have shifted from a bearish condition to a neutral condition. Lastly, a blue down arrow indicates that we have shifted from a bullish condition to a neutral condition.
We would recommend using the Slim Ribbon on a candlestick chart. Steve Miller believes in the importance of visualizing trends. As a result, we have designed the Slim Ribbon to change the color of the candlesticks based on the condition of the ribbon. When the Slim Ribbon has a bullish condition, the candlesticks will turn green. When the Slim Ribbon has a bearish condition, the candlesticks will turn red. When the Slim Ribbon has a neutral condition, the candlesticks will turn gray.
Slim RibbonThe Slim Ribbon was developed by Steve Miller. Steve Miller is a 46-year veteran stock, futures and options trader. His badge on the trading floor was his initials, “SLM” and has since gone by the nickname Slim.
The Slim Ribbon is a momentum indicator . It is composed of 3 exponential moving averages (8, 13 and 21). A bullish condition occurs when the 8 period MA is above the 13 period MA and the 13 period MA is above the 21 period MA. A bearish condition occurs when the 8 period MA is below the 13 period MA and the 13 period MA is below the 21 period MA. A neutral condition occurs when the Ribbons are not in alignment.
The Slim Ribbon also notifies you when we transition from one condition to another. A green up arrow indicates that the Slim Ribbon has shifted from a neutral condition to a bullish condition. A red down arrow indicates that the Slim Ribbon has shifted from a neutral condition to a bearish condition. A blue up arrow indicates that we have shifted from a bearish condition to a neutral condition. Lastly, a blue down arrow indicates that we have shifted from a bullish condition to a neutral condition.
We would recommend using the Slim Ribbon on a candlestick chart. Steve Miller believes in the importance of visualizing trends. As a result, we have designed the Slim Ribbon to change the color of the candlesticks based on the condition of the ribbon. When the Slim Ribbon has a bullish condition, the candlesticks will turn green. When the Slim Ribbon has a bearish condition, the candlesticks will turn red. When the Slim Ribbon has a neutral condition, the candlesticks will turn gray.
This indicator is designed to be paired with the Slim Ribbon Volume Bars indicator, which is also available for free in TradingView.
GnG - WaveTrend with RSIShow WaveTrend Line and Stochastic RSI line Indicator in one script
When Stochastic RSI Line cross will show signal.
Helping users to know the signal of reversal.
Disclaimer On and Take your Own Risk.
Trend Following with Moving AveragesHello Traders,
With the info "Trend is Your Friend ", you should not take position against the trend. This script checks multipte moving averages if they are above/below the closing price and try to find trend. The moving averages with the length 8, 13, 21, 34, 55, 89, 144, 233, 377 used. these are fibonacci numbers, but optionally you can change the lengths of each moving averages. while it's green you better take long positions, while it's red you better take short positions according to other indcators or tools.
Optionally you have "smoothing" option to get rid of whipsaws. it's enabled by default.
You have option to use following moving average types: EMA, SMA, RMA, WMA, VWMA. by default it's EMA
Also the script has "Resolution" option. with this option you can get the trend for other time frames, in following example 1h was set as for higher time frame on 15m chart:
This should not be used as buy/sell signal indicators as it's tries to find trend but not entry points, you should use other indicators (such RSI, Momentum) or other tools to find buy/sell signals.
Enjoy!
4 EMA Crossover w/alerts4 EMA crossover visualized (buy/sell) w/ alerts.
Personally I use 8, 13, 21 & 55 for LTF's and 21, 55, 100 & 200 for HTF's
21/55 EMA Cloud w/ Optional RibbonThis indicator behaves like a traditional EMA ribbon by using the 21, 25, 30, 35, 40, 45, 50, and 55 bar exponential moving averages. In this particular indicator, the traditional EMA ribbon lines are turned off by default leaving only a filled in area between the 21 and 55 bar averages. The filled in area is green when the 21 bar average is greater than the 55 and red otherwise. Additionally, the 9, 100, and 200 exponential moving averages are available for reference.
AITI Investa: Trend FollowingScript ini dibuat untuk membantu strategi trend following harian pada saham-saham di IHSG.
Terdiri dari:
1. Petunjuk visual untuk area trend yang sebaiknya dihindari ( bearish trend ), berupa background berwarna merah. Dimana area bearish trend adalah ketika garis fast ema berada di bawah garis slow ema .
2. Batas stop loss / trailing stop, dengan acuan nilai ATR.
Script ini tidak memberikan sinyal buy. Silakan gunakan strategi buy on weakness/breakout sesuai analisa dan preferensi masing-masing. Untuk mencari entry trigger, penulis merekomendasikan untuk menarik garis support/resistance manual dan digabungkan dengan indikator MACD & CCI sebagai konfirmasi.
-AITI Investa
MACD-X, More Than MACD by DGTMoving Average Convergence Divergence – MACD
The most popular indicator used in technical analysis, the moving average convergence divergence (MACD), created by Gerald Appel. MACD is a trend-following momentum indicator, designed to reveal changes in the strength, direction, momentum, and duration of a trend in a financial instrument’s price
Historical evolution of MACD,
- Gerald Appel created the MACD line,
- Thomas Aspray added the histogram feature to MACD
- Giorgos E. Siligardos created a leader of MACD
MACD employs two Moving Averages of varying lengths (which are lagging indicators) to identify trend direction and duration. Then, MACD takes the difference in values between those two Moving Averages (MACD Line) and an EMA of those Moving Averages (Signal Line) and plots that difference between the two lines as a histogram which oscillates above and below a center Zero Line. The histogram is used as a good indication of a security's momentum.
Mathematically expressed as;
macd = ma(source, fast_length) – ma(source, slow_length)
signal = ma(macd, signal_length)
histogram = macd – signal
where exponential moving average (ema) is in common use as a moving average (ma)
fast_length = 12
slow_length = 26
signal_length = 9
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 “MACD-X” and Why it is “More Than MACD”
In its simples form, MACD-X implements variety of different calculation techniques applied to obtain MACD Line, ability to use of variety of different sources , including Volume related sources, and can be plotted along with MACD in the same window and all those features are available and presented within a single indicator, MACD-X
Different calculation techniques lead to different values for MACD Line, as will further discuss below, and as a consequence the signal line and the histogram values will differentiate accordingly. Mathematical calculation of both signal line and the histogram remain the same.
Main features of MACD-X ;
1- Introduces different proven techniques applied on MACD calculation , such as MACD-Histogram, MACD-Leader and MACD-Source, besides the traditional MACD (MACD-TRADITIONAL)
• MACD-Traditional , by Gerald Appel
It is the MACD that we know, stated as traditional just to avoid confusion with other techniques used with this study
• MACD-Histogram , by Thomas Aspray
The MACD-Histogram measures the distance between MACD and its signal line (the 9-day EMA of MACD). Aspray developed the MACD-Histogram to anticipate signal line crossovers in MACD. Because MACD uses moving averages and moving averages lag price, signal line crossovers can come late and affect the reward-to-risk ratio of a trade. Bullish or bearish divergences in the MACD-Histogram can alert chartists to an imminent signal line crossover in MACD
The MACD-Histogram represents the difference between MACD and its 9-day EMA, the signal line. Mathematically,
macdx = macd - ma(macd, signal_length)
Aspray's contribution served as a way to anticipate (and therefore cut down on lag) possible MACD crossovers which are a fundamental part of the indicator.
Here come a question, what if repeat the same calculations once more (macdh2 = macdh - ma(macdh, signal_length), will it be even better, this question will remain to be tested
• MACD-Leader , by Giorgos E. Siligardos, PhD
MACD Leader has the ability to lead MACD at critical situations. Almost all smoothing methods encounter in technical analysis are based on a relative-weighted sum of past prices, and the Leader is no exception. The concealed weights of MACD Leader are such that more relative weight is used in the more recent prices than the respective weights used by the components of MACD. In effect, the Leader expresses more changes in average price dynamics for the recent price movement than MACD, thus eventually leading MACD, especially when significant trend changes are about to take place.
Siligardos creates two less-laggard moving averages indicators in its formula using the same periods as follows
Indicator1 = ma(source, fast_length) + ma(source - ma(source, fast_length), fast_length)
Indicator2 = ma(source, slow_length) + ma(source - ma(source, slow_length), slow_length)
and then take the difference:
Indicator1 - Indicator2
The result is a new MACD Leader indicator
macdx = macd + ma(source - fast_ma, fast_length) - ma(source - slow_ma, slow_length)
• MACD-Source , a custom experimental interpretation of mine ,
MACD Source, presents an application of MACD that evaluates Source/MA Ratio, relatively with less lag, as a basis for MACD Line, also can be expressed as source convergence/divergence to its moving average. Among the various techniques for removing the lag between price and moving average (MA) of the price, one in particular stands out: the addition to the moving average of a portion of the difference between the price and MA. MACD Source, is based on signal length mean of the difference between Source and average value of shot length and long length moving average of the source (Source/MA Ratio), where the source is actual value and hence no lag and relatively less lag with the average value of moving average of the source . Mathematically expressed as,
macdx = ma(source - avg( ma(source, fast_length), ma(source, slow_length) ), signal_length)
MACD Source provides relatively early crossovers comparing to MACD and better momentum direction indications, assuming the lengths are set to same values
For further details, you are invited to check the following two studies, where the first seeds were sown of the MACD-Source idea
Price Distance to its Moving Averages study, adapts the idea of “Prices high above the moving average (MA) or low below it are likely to be remedied in the future by a reverse price movement", presented in an article by Denis Alajbeg, Zoran Bubas and Dina Vasic published in International Journal of Economics, Commerce and Management
First MACD like interpretation comes with the second study named as “ P-MACD ”, where P stands for price, P-MACD study attempts to display relationship between Price and its 20 and 200-period moving average. Calculations with P-MACD were based on price distance (convergence/divergence) to its 200-period moving average, and moving average convergence/divergence of 20-period moving average to 200-period moving average of price.
Now as explained above, MACD Source is a one adapted with traditional MACD, where Source stands for Price, Volume Indicator etc, any source applicable with MACD concept
2- Allows usage of variety of different sources, including Volume related indicators
The most common usage of Source for MACD calculation is close value of the financial instruments price. As an experimental approach, this study will allow source to be selected as one of the following series;
• Current Close Price (close)
• Average of High, Low, and Close Price (hlc3)
• On Balance Volume (obv)
• Accumulation Distribution (accdist)
• Price Volume Trend (pvt)
Where,
-Current Close Price and Average of High, Low, and Close Price are price actions of the financial instrument
- Accumulation Distribution is a volume based indicator designed to measure underlying supply and demand
- On Balance Volume (OBV) , is a momentum indicator that measures positive and negative volume flow
- Price Volume Trend (PVT) is a momentum based indicator used to measure money flow
3- Can be plotted along with MACD in the same window using the same scaling
Default setting of MACD-X will display MACD-Source with Current Close Price as a source and traditional MACD can be plotted eighter as a companion of MACD-X or can be selected to be plotted alone.
Applying both will add ability to compare, or use as a confirmation of one other
In case, traditional MACD Is plotted along with MACD-X to avoid misinterpreting, the lines plotted, the area between MACD-X Line and Signal-X Line is highlighted automatically, even if the highlight option not selected. Otherwise highlight will be applied only if that option selected
4- 4C Histogram
Histogram is plotted with four colors to emphasize the momentum and direction
5- Customizable
Additional to ability of selecting Calculation Method, Source, plotting along with MACD, there are few other option that allows users to customize the MACD-X indicator
Lengths are configurable, default values are set as 12, 26, 9 respectively for fast, slow and smoothing length. Setting lengths to 8,21,5 respectively Is worth checking, slower length moving averages will lead to less lag and earlier reaction to price actions but yet requires a caution and back testing before applying
Highlight the area between MACD-X Line and Signal-X Line, with colors emphasising the direction
Label can be added to display Calculation Method, Source and Length settings, the aim of this label is to server only as a reminder to trades to be aware of settings while they are occupied with charts, analysis etc.
Here comes another question, which is of more importance having the reminder or having the indicators with multi timeframe feature? Build-in Multi Time Frame features of Pine is not supported when labels and lines introduced in the script, there are other methods but brings complexity. To be studied further, this version will be with labels for time being.
Epilogue
MACD-X is an alternative variant of MACD, the insight/signals provided by MACD are also applicable to MACD-X with early and clear warnings for the changes in the trend.
If MACD is essential to your analysis, then it is my guess that after using the MACD-X for a while and familiarizing yourself with its unique character and personality, you will make it an inseparable companion to other indicators in your charts.
The various signals generated by MACD/MACD-X are easily interpreted and very few indicators in technical analysis have proved to be more reliable than the MACD, and this relatively simple indicator can quickly be incorporated into any short-term trading strategy
Disclaimer : 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
The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
Rally SequencesAnother simple indicator that you can use to get to know the major trends and bull markets. It only uses 4 different exponential moving averages. These are (55, 89, 144, 233)
The correct alignment you should see on the screen should be from top to bottom and from small to large.
Example: 55 should be at the top and 89, 144 and 233 below, respectively. When you see this sequence, it is simple to realize that you are in a major rising trend.
Monthly, weekly, daily and 4-hour periods are ideal. Less than 4 hours, deviations are possible.
System 20/8You can decide to trade with this very simple scenario. This system consists of 2 exponential moving averages ( EMA ) These are Ema 8 and Ema 20.
Recommended period is 4 hours.
When 8 Ema is above 20 Ema , positive zone and may be safer to trade. And the opposite is negative when it is.
This indicator is of course not a sufficient reason to decide on trading. It can only be one of the signals to guide.
MTF SMA on specific timeframe(5M-4H)Japanese below. 日本語の説明は下記
This is multi time frame simple moving average that is shown only on the specific timeframe; 5M, 15M, 30M, 1H, 4H.
Problem of conventional MTF moving average is that MTF MA is sometimes annoying especially when you look at upper timeframe such as daily chart and/or weekly chart.
e.g. You set 20 MA of 4 hour chart into 1 hour chart, however, when you look at daily chart, daily chart also shows 20MA of 4 hour chart which is unnecessary.
This is why I have developed this MTF SMA indicator shown only on the timeframe from 5M to 4 hour.
With this indicator, even if you set MA of upper timeframe(such as 4 hour) into Lower timeframe, that MA will not be shown on above daily chart.
You can customize adding or removing below code;
timeframe.period == “X”? security(syminfo.tickerid, res, sma(src, ma_len))
X is the timeframe that you would add/remove from the indicator.
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特定の時間軸にのみ表示されるマルチタイムフレーム移動平均線のインジケーターです。
従来のマルチタイムフレーム移動平均線の問題点は、上位足に切り替えた時にもマルチタイムフレーム移動平均線の設定が表示され、チャートが見にくくなる点でした。
例: 4時間足の20MAをマルチタイムフレーム移動平均線としてセットしたとします。この場合、1時間足などの下位足で4時間足の20MAが表示されることになりますが、同時に日足や週足といった上位足チャートを見る時にも、この4時間足の20MAが表示されてしまいます。
このインジケーターでは、従来のマルチタイムフレーム移動平均線と同様に、設定元となる上位足の時間軸(4時間、日足など)を選択し、期間とソースを設定することができる一方で、表示されるのは5分足、15分足、30分足,1時間足、4時間足のみとなります。
スクリプトのMAの取得部分に以下コードを追加することで、必要な時間軸を追加・削除することが可能です。
timeframe.period == “X”? security(syminfo.tickerid, res, sma(src, ma_len))
Xは表示したい時間軸です。4時間足チャートからこのインジケーターを削除したい場合は
timeframe.period == “240”? security(syminfo.tickerid, res, sma(src, ma_len))
を削除してください。
GM All-purposeThis script plots multiple EMA's also it shows you when a particular EMA crosses up or below another EMA. You can customize the EMA's based on your setups or preferences.
This script basically will help you easily identify when a particular EMA has crossed over or crossed under another EMA at one glance.
Particularly useful when there is a lot of entanglement of the EMA's
There is also dual Bollinger Bands & Donchian Channels that are available to check the volatility of that particular scrip, which will help you stay in the trade or exit based on your criteria.
