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Posts (page 56)

  • How to Successfully Load A .Tiff Image Into Matlab? preview
    3 min read
    To successfully load a .tiff image into MATLAB, you can follow these steps:First, make sure the .tiff image file is saved in a location that MATLAB can access. You can either store it in the MATLAB working directory or provide the complete file path while loading. Use the imread() function in MATLAB to read the .tiff image. Pass the file path or name of the .tiff image as an input argument to this function, and assign the output to a variable. Example: tiffImage = imread('path/to/your/image.

  • What Are Ichimoku Cloud? preview
    11 min read
    Ichimoku Cloud is a technical analysis indicator developed by Japanese journalist Goichi Hosoda in the late 1960s. Also known as Ichimoku Kinko Hyo, it is a comprehensive indicator that provides a visual representation of support and resistance, momentum, and trend direction in the financial markets.The name "Ichimoku" translates to "one look" or "one glance," indicating its ability to provide a holistic view of market conditions at a single glance.

  • How to Calculate Diameter Across an Image In Matlab? preview
    8 min read
    To calculate the diameter across an image in MATLAB, you can follow these steps:Read the image using the imread function and store it in a variable. image = imread('your_image.jpg'); Convert the image to grayscale (if it's in RGB format) using the rgb2gray function: grayImage = rgb2gray(image); Apply a suitable thresholding technique to separate the desired object from the background.

  • How to Create Matrix Functions In Matlab? preview
    3 min read
    In MATLAB, you can create matrix functions using the built-in capabilities for matrix operations and function handles. Matrix functions allow you to perform operations on entire matrices rather than individual elements. Here's a step-by-step guide on how to create matrix functions in MATLAB:Define the function: Start by defining your desired matrix function. It could be any mathematical operation or transformation you want to apply to a matrix.

  • Chandelier Exit For Swing Trading? preview
    10 min read
    The Chandelier Exit is a popular indicator used in swing trading to help traders set appropriate stop-loss levels. Developed by Charles Le Beau, the Chandelier Exit is primarily designed to capture trends and protect profits during market swings.This indicator consists of two main components—the Chandelier line and the trailing stop. The Chandelier line is calculated by taking the highest high over a specified period and subtracting a fixed multiple of the average true range (ATR).

  • How to Get Or Create A .Fig File In Matlab? preview
    6 min read
    To get or create a .fig file in Matlab, you can follow these steps:Open the figure you want to save as a .fig file in the Matlab Figure Window. Once the figure is displayed, go to the File menu at the top of the Figure Window. From the File menu, select the "Save As" option. This will open a dialog box. In the dialog box, navigate to the directory where you want to save the .fig file. Specify a name for the file, including the .fig extension at the end (e.g., "myfigure.fig").

  • How to Use Arms Index (TRIN)? preview
    8 min read
    The Arms Index, also known as the TRIN (Trading Index), is a technical analysis tool used by traders and investors to measure the strength of the stock market or a particular security. It provides insights into market conditions by comparing the volume of advancing stocks to declining stocks and the volume of advancing volume to declining volume.

  • How to Solve Linear Symbolic Equations In Matlab? preview
    6 min read
    To solve linear symbolic equations in MATLAB, you can follow these steps:Define your symbolic variables using the sym command. For example, if your equation involves variables x, y, and z, you can define them as: syms x y z Create your linear equation(s) using the defined symbolic variables. The equations should be in the form lhs == rhs. For example: eq1 = 2*x + 3*y - z == 4; eq2 = x - 2*y + z == 7; Use the solve function to solve the system of equations.

  • How to Verify That Input Is Numeric In Matlab? preview
    6 min read
    To verify that an input is numeric in MATLAB, you can use the isnumeric function. Here is an example code snippet: % Prompt for user input userInput = input('Enter a numeric value: ', 's'); % Check if the input is numeric if isnumeric(str2double(userInput)) disp('Input is numeric.') else disp('Input is not numeric.') end In this code, the input function is used to get user input as a string ('s' is used as the second argument).

  • How to Read Mass Index (MI) In Stock Trading? preview
    8 min read
    The Mass Index (MI) is a technical indicator used in stock trading to identify potential reversals in price trends. It was developed by Donald Dorsey in the early 1990s.To understand how to read the Mass Index, it is important to grasp the concept of volatility. Volatility refers to the rate at which prices fluctuate in a market. The Mass Index aims to measure and highlight potential instances of high volatility that may precede trend reversals.

  • How to Get Constructor Values In Another Class In Matlab? preview
    8 min read
    In MATLAB, you can transmit constructor values from one class to another by using the varargin input argument and the superclass constructor method. Here is an example of how you can achieve this:Create a class file for the superclass, let's call it Superclass.m: classdef Superclass properties value1 value2 end methods function obj = Superclass(varargin) if nargin > 0 obj.

  • A Complete Guide to Relative Strength Index (RSI)? preview
    9 min read
    The Relative Strength Index (RSI) is a popular technical analysis indicator used by traders and investors to evaluate the strength and momentum of a price trend. It provides insights into whether an asset is overbought or oversold and helps identify potential entry and exit points in the market.RSI is a bounded oscillator that ranges between 0 and 100. The indicator calculates the ratio of the average gain to the average loss over a specified period, typically 14 days.