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  • Guide to Chande Momentum Oscillator (CMO)? preview
    8 min read
    The Chande Momentum Oscillator (CMO) is a technical analysis tool that measures the momentum of a security's price movement. It was developed by Tushar Chande, a renowned technical analyst, to provide a more accurate reflection of market conditions by filtering out market noise.The CMO is a bounded oscillator that oscillates between -100 and +100. The indicator calculates the difference between the sum of gains and the sum of losses over a specified period.

  • How to Switch Between Multiple Versions Of Kotlin? preview
    4 min read
    To switch between multiple versions of Kotlin, you can follow these steps:Open your Kotlin project in your desired integrated development environment (IDE). Locate the build.gradle file in your project's root directory. Inside the build.gradle file, find the kotlin-gradle-plugin dependency declaration. It will look something like this: dependencies { implementation "org.jetbrains.

  • How to Handle Errors And Exceptions In MATLAB? preview
    10 min read
    In MATLAB, errors and exceptions are situations that occur during the execution of a program that can disrupt its normal flow. MATLAB provides various mechanisms to handle these errors and exceptions effectively. Here are some techniques commonly used to handle errors and exceptions in MATLAB:Try-Catch Statements: A try-catch statement allows you to execute a block of code and catch any errors or exceptions that occur during its execution.

  • How to Check If A Server Is Reachable With Retrofit In Kotlin? preview
    5 min read
    To check if a server is reachable using Retrofit in Kotlin, you can follow the steps below:Import the necessary dependencies in your Kotlin project. This includes the Retrofit library and the required network permission in your AndroidManifest.xml file: implementation 'com.squareup.retrofit2:retrofit:2.x.x' implementation 'com.squareup.retrofit2:converter-gson:2.x.x' Create an interface for your API using Retrofit annotations.

  • How to Write Data to A File In MATLAB? preview
    7 min read
    To write data to a file in MATLAB, you can follow these steps:Open the file for writing using the fopen function. Specify the file name, mode (e.g., 'w' for writing), and encoding if required. For example: fileID = fopen('filename.txt', 'w'); Use the fprintf function to write data to the file. This function allows you to write formatted data. Provide the file identifier obtained from fopen as the first input argument, followed by the data you want to write.

  • How to Interpret On-Balance Volume (OBV)? preview
    9 min read
    On-Balance Volume (OBV) is a technical analysis indicator used to measure the positive and negative volume flow in a security or market. It provides insights into the buying and selling pressure behind a security's price movement. Interpreting OBV involves analyzing the patterns and trends formed by the indicator.OBV is based on the principle that volume precedes price movement. When OBV is rising, it suggests that buying volume is increasing, indicating bullish sentiment.

  • How to Create List Of Objects In Kotlin? preview
    5 min read
    In Kotlin, you can create a list of objects using various methods. Here are a few ways to achieve this:Using the listOf() function: You can create a read-only list using the listOf() function. It takes any number of arguments and returns an immutable list containing those elements.

  • How to Read Data From A File In MATLAB? preview
    6 min read
    To read data from a file in MATLAB, you can use the built-in functions fopen, fscanf, and fclose. Here are the steps:Open the file using fopen: Use the fopen function to open the file and obtain a file identifier. Syntax: fid = fopen(filename), where filename is a string specifying the file path and fid is the file identifier. Read data from the file using fscanf: With the file identifier obtained from step 1, you can use the fscanf function to read formatted data from the file.

  • What Are Triangular Moving Average (TMA)? preview
    8 min read
    The Triangular Moving Average (TMA) is a technical analysis indicator used to smooth out price fluctuations and identify trends in a financial asset's price over a specific period. It is called a "triangular" moving average because the averaging formula assigns higher weights to the prices in the middle of the time period and lower weights to the prices at the beginning and end.The TMA is calculated by taking the average of prices over a chosen period, creating a single value.

  • How to Perform Element-Wise Operations on Matrices In MATLAB? preview
    4 min read
    To perform element-wise operations on matrices in MATLAB, you can use the following approaches:Addition and Subtraction: Use the "+" operator to add corresponding elements in two matrices. For example, C = A + B will add each element of matrix A with the corresponding element in matrix B and store the result in matrix C. Use the "-" operator to subtract corresponding elements in two matrices.

  • How to Create A Matrix In MATLAB? preview
    4 min read
    To create a matrix in MATLAB, you can use square brackets to define the rows of the matrix. Each row is separated by a semicolon (;). The elements within each row are separated by spaces or commas.For example, to create a 2x2 matrix called "A" with elements 1, 2, 3, and 4, you can use the following syntax:A = [1, 2; 3, 4];In this case, the elements 1 and 2 form the first row, and the elements 3 and 4 form the second row.You can also create matrices with a single row or a single column.