MACD-X Overlay, 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.
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. 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.
Main features of MACD-X ;
1- Plotting of the Oscillator presented on top of the price chart (main chart) and applicable on both log and linear scale. Maximum plotting length is limited to 250 bars
2- Introduces different proven techniques applied on MACD calculation, such as MACD-AS (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
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.
• 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.
• 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 .
MACD Source provides relatively early crossovers comparing to MACD and better momentum direction indications, assuming the lengths are set to same values
3- Alerts presented for MACD and Signal Line Crosses both for Early Warning and Confirmed Crossovers
For more, You are kindly invited to have a look to other MACD or similar studies presented on separate pane
MACD-X, More Than MACD by DGT , P-MACD by DGT and Price Distance to its MA by DGT
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
Pine实用程序
Countdown Interval TimerCountdown Interval Timer calculates the time remaining (in seconds) until bar close and 5 custom intervals (minutes).
Given the execution model of Pine Script is ticked-based, alerts based on this indicator will only trigger if there is a tick at the right time.
Specifically, a tick would be required between the event target (close of bar time, end of minute/s interval), less the Trigger Threshold (default = 5 seconds before).
Alert instructions:
1. Create new alert
2. Select Condition options as:
a) This indicator & desired plot (Ti_Cl, Ti_01, Ti_02, Ti_03, Ti_04 or Ti_05)
b) 'Crossing Down'
c) This indicator & 'Trigger'
3. Set Options to 'Once Per Minute'
Note that if you change the input values of this indicator you will need to recreate the alert as it will not pick up the changes.
For example if you change 'Time interval 01' from 1 to 3, the alert will remain at 1
MM Chop Filter Range BoxesMatch with the MM Chop Filter
This draw Non repainting range boxes when the oscillator see a range.
-Breakout Buy/Sell Signals and Exit signals when prices enters a range just in case you did get into a trade. .
-Alarms to match the signals
How to use
Match with the oscillator and always trade the trend with your strategy confirmation and the breakout this indicator provides
Ultimate Time Filter V1The only time filter that you will ever need.
Easily filter for:
--> Start/End Dates
--> Weekdays
--> 1 or 2 Daily Trade Sessions.
This is open source on purpose so you can enjoy ease of use on your own codes. Simply copy the code and use the variable "inTime" to filter bars that fit your time constraints.
I spent a lot more time on this than I'd like to admit but so be it. Any comments for improvements, or questions on how to use the script is appreciated. Or if you wanna chat about trading / pine script hit me up on Discord.
Cheers
Nifty_Price_Movement_BuildUPDashboard to see Price Momentum Build-Up at Nifty.
It cumulates all prices and their respective weightage.
During initial of a candle, we are not aware of volume is High or Not, we only get it in later buildup. But Price buildup will display it at the same instant that what is going with the price of all stocks.
The logic used here is that
1) If a stock close > open at a particular instant it will add that stock multiplied with its weightage in Nifty to the list of stocks that are positive.
2) If a stock close < open at a particular instant it will add that stock multiplied with its weightage in Nifty to the list of stocks that are negative.
3) Above two will give you data that how many of them are positive and are negative at a particular instant and how they are going to affect Nifty.
In one of the many possible ways, it is superior than that of Volume buildup is that, to determine volume is higher than previous volume, we have to wait for first few seconds/minutes/hours (depending on timeframe you are in) to see volume buildup. The Volume buildup function based indicator is kind of lagging, though volume itself being instant.
Close Combination Lock Style - Visual AppealThis creates a combination style closing price change on each tick.
It has two theme options, one as silver dials for Dark Theme and the other as black dials for White Theme.
We get fixated to watching closing prices on charts and it gets visually daunting. This creates a combination style price change which updates on each tick, which is quite pleasing to the eye.
When new price is above current center line, it shift the above prices showing ▲ arrow, and if new price is lower, it will shift the bottom prices showing ▼ arrow. If there is no change in price between the ticks, it will show =.
Candles HTF on Heikin Ashi ChartThis script enables calling and/or plotting of traditional Candles sources while loaded on Heikin Ashi charts.
Thanks to @PineCoders for rounding method: www.pinecoders.com
Thanks to @BeeHolder for method to regex normalize syminfo.tickerid.
NOTICE: While this script is meant to be utilized on Heikin Ashi charts it does NOT enable ability to backtest!
NOTICE: For more info on why non standard charts cannot be reliably backtested please see:
NOTICE: This is an example script and not meant to be used as an actual strategy. By using this script or any portion thereof, you acknowledge that you have read and understood that this is for research purposes only and I am not responsible for any financial losses you may incur by using this script!
Filter impulse & step responsesA simple utility tool to examine a filter's step & impulse responses.
By default you can see LSMA's responses.
How to use:
1. Insert your filter to "f(input)" function inside the code;
2. Let this tool help you to make your own filters.
I been seeing people dropping snaps with this stuff but NEVER, NO1 actually dropped the tool itself (4 real?).
Well here is it, for you.
Almost forgot, adjust "Position" parameter to make plots seen. Try to zoom out, and +-100
How To Identify Argument Type Of Number Using OverloadsExample overload functions accept loading of _value for types float, int, or string, then positively identifies the actual argument type of that specific loaded _value.
How To Identify Type Of NumberExample function accepts loading of _value for types float, int, or string, then identifies whether the loaded _value is a string number, string, or number.
How To Count DecimalsCustom f_nDecimals() function returns precision of decimal numbers of the following forms:
const, input, simple, and series of the following types: float, integer, and string.
Error checking is performed for valid numbers and invalid values return NaN.
NOTICE: This is an example script and not meant to be used as an actual strategy. By using this script or any portion thereof, you acknowledge that you have read and understood that this is for research purposes only and I am not responsible for any financial losses you may incur by using this script!
Oscillator EdgesAnother simple script to be added on top of other indicators. Simply provides a symbol of varying color depending on the value of the oscillator. Allows up to 4 different colors in each direction. Includes alerts conditions. Demonstration is the indicator being applied to the RSI (purple) included in Market Cipher B.
To use, simply add it to your indicator, and choose and oscillator of your choice in the Input Settings. Alternatively, you can just keep it on 'close' and use the built in RSI. Or, you can use the RSI formula on top of something else (if that's your thing).
The names are silly, so I hope this is okay with all of you.
Let me know what you think, and if there are any problems, questions, or concerns!
Percentile Nearest Rank Using Arrays [LuxAlgo]The new array feature is extremely powerful, as it will allow pinescript users to do more complex things, or compute existing calculations more efficiently, it will also be possible to shine some light to some already existing functions, one of them being percentile_nearest_rank .
We have been working on this new feature with our pal alexgrover, and made this script which computes a rolling percentile using the nearest rank method.
Settings
Length: Window of the rolling percentile, determine the number of past data to be used.
Percentage: Return the current value if Percentage % of the data fall below that value, the setting is in a range (0,100).
Src: Input source of the indicator.
Usage
A rolling percentile can have many usages when it comes to technical analysis, this is due to its ability to return the value of three common rolling statistics, the rolling median, which can be obtained using a percentage equal to 50, the rolling maximum, obtained with a percentage equal to 100, and the rolling minimum, obtained with a percentage equal to 0.
When we use our rolling percentile as a rolling median, we can obtain a robust estimation of the underlying trend in the price, while using it as a rolling maximum/minimum can allow us to determine if the market is trending, and at which direction. The rolling maximum/minimum is a rolling statistic used to calculate the well known stochastic oscillator and Donchian channel indicator.
We can also compute rolling quartiles, which can be obtained using a percentage of 25 or 75, with one of 25 returning the lower quartile and 75 the upper quartile.
In blue the upper rolling quartile (%75), in orange the lower rolling quartile (%25), both using a window size of 100.
Details
In order to compute a rolling percentile nearest rank, we must first take the most recent length closing prices, then order them in ascending order, we then return the value of the ordered observations at index (percentage/100*length) - 1 (we use - 1 because our array index starts at 0).