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3 min readTo extract attribute id from an XML file using Groovy, you can use the XmlSlurper class provided by Groovy. Here's how you can do it:First, import the necessary classes: import groovy.util.XmlSlurper Load the XML file: def xml = new XmlSlurper().parse('path/to/your/file.xml') Use dot notation or indexing to access the attribute value: def idValue = xml.elementName.
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13 min readBollinger Bands are a popular technical analysis tool used by traders to assess the volatility and potential price movements of a financial instrument. They consist of three lines plotted on a price chart, typically representing a moving average line in the center, and two standard deviation lines above and below the moving average.To use Bollinger Bands effectively, traders primarily look for three main aspects:Volatility assessment: Bollinger Bands provide a measure of market volatility.
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7 min readIn Groovy, an immutable class, by definition, means that the state of the object cannot be modified after its creation. However, Groovy introduces some flexibility with regards to immutability.By default, Groovy classes are mutable, which means that the properties of an object can be changed. This is in contrast to languages like Java, where immutability is enforced by default. Groovy allows modifications to properties even in classes that are declared as "immutable".
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9 min readTo print a PDF on the client side from a Groovy web application, you can follow these steps:Retrieve the PDF file: Make sure you have a PDF file that you want to print. This file can be stored on the server-side or generated dynamically by your Groovy web application. Prepare the print functionality: In your Groovy web application, create a button or link that triggers the print functionality. This can be achieved by adding an onclick event to the button/link.
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10 min readThe Exponential Moving Average (EMA) is a mathematical calculation used in technical analysis to smooth out price data points and provide a moving average of an asset's price over a specified period of time. It is similar to simple moving averages (SMA), but it places more weight on recent price data and reacts faster to recent price changes.EMA is calculated by applying a calculation formula that involves using the current price, the previous EMA value, and a smoothing factor.
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6 min readIn Groovy, to remove a temporary folder on exit, you can make use of the java.nio.file package. Here's how you can achieve it:First, define the temporary folder path that you want to remove. For example, let's say the path is stored in a variable named tempFolderPath. Next, use the Runtime.addShutdownHook() method to add a shutdown hook. This hook will be executed when the JVM is shutting down. Inside the shutdown hook, use the java.nio.file.
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5 min readRate of Change (ROC) is a concept used in mathematics and finance to measure the speed at which a variable is changing over a specific period of time. It is commonly expressed as a ratio or percentage, showing the relative change in a quantity with respect to time. ROC is widely used in various fields, including physics, economics, engineering, and more.To calculate ROC, you need two distinct data points over a given timeframe.
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6 min readTo configure slf4j in Groovy, you can follow these steps:Start by adding the slf4j dependencies to your project. You can do this by adding the following lines to your build file (e.g., Gradle or Maven): // Gradle implementation 'org.slf4j:slf4j-api:1.7.30' implementation 'org.slf4j:slf4j-simple:1.7.30' // Maven <dependencies> <dependency> <groupId>org.
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5 min readThe ".*" operator in Groovy is used to invoke the method on each element of a collection or array. It is often referred to as the "spread dot operator" or the "method spread operator."When used with a collection or array, the ".*" operator allows you to call a method on every element of that collection or array, without needing to explicitly iterate over each element.
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9 min readCandlestick patterns are one of the oldest methods used by technical analysts to forecast market movements. They are graphical representations of price movements in a specific time frame. Candlestick patterns capture the open, high, low, and closing prices within a selected time period. These patterns are useful for predicting short-term trends and potential reversals in market behavior.Candlestick patterns consist of individual candles or a combination of several candles formed consecutively.
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8 min readTo convert XML to JSON in Groovy, you can use the built-in libraries and functions provided by Groovy. Here's a general approach to achieve this conversion:First, you need to load the XML data into a Groovy XmlSlurper object. The XmlSlurper is a SAX-like parser in Groovy that allows you to parse and manipulate XML data easily. def xmlData = new XmlSlurper().parseText(xmlString) Next, create an empty Groovy HashMap object to hold the converted JSON data.