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9 min readThe 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.
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4 min readTo read an RGB raw file in MATLAB, you can follow these steps:Open MATLAB and navigate to the directory where your RGB raw file is located.Use the fopen function to open the raw file. Specify the file name, the read permission 'r', and the 'b' flag for reading the file in binary mode. For example: fid = fopen('your_file.raw', 'rb'); Read the contents of the file using the fread function.
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4 min readTo properly delete recursively defined objects in MATLAB, you can follow these steps:Identify the recursive objects in your code: These objects are defined in a way that they contain references to other instances of the same class. Implement a delete method in the class definition: Inside the class definition, create a delete method that handles the deletion of the object and any referenced objects it contains.
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11 min readThe Money Flow Index (MFI) is a technical indicator used in trading and investment analysis to quantify the amount of money flowing into or out of a particular security or asset. It provides insights into the strength and direction of money flow in a given period.The MFI is calculated in several steps. First, the typical price for each period is determined by summing the high, low, and closing prices and then dividing the sum by three.
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7 min readThe Chaikin Oscillator is a technical indicator used by day traders to analyze the accumulation or distribution of a stock. Developed by Marc Chaikin, this oscillator combines volume and price data to provide insights into the strength or weakness of a security.The Chaikin Oscillator is calculated by subtracting a 10-day exponential moving average of the Accumulation Distribution Line (ADL) from a 3-day exponential moving average of the ADL.
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6 min readTo run Python from MATLAB, you can follow these steps:Make sure you have both MATLAB and Python installed on your computer.Open MATLAB and navigate to the directory where your Python script is located.Create a MATLAB script (.m file) or open an existing one to call the Python script.Use the "system" or "system2" function in MATLAB to call the Python script. This function allows you to execute command-line instructions from MATLAB.Construct the command to call the Python script.
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7 min readTo connect MATLAB and React.js, you can follow these steps:Set up a MATLAB server: Start by creating a MATLAB server that will handle the communication between MATLAB and React.js. This server can be created using MATLAB's own server capabilities or by utilizing external libraries like Node.js or Express.js. Define APIs: Once the server is set up, define APIs (Application Programming Interfaces) that will allow React.js to send requests and receive responses from MATLAB.
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4 min readIn MATLAB, you can save a string variable to a .txt file by following these steps:Start by defining a string variable that you want to save. For example, let's say you have a string variable called "myString". Next, open a file for writing using the "fopen" function. You need to provide the file name and the access mode as input arguments. For example: fileID = fopen('filename.txt', 'w'); Here, 'filename.
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8 min readThe stochastic oscillator is a popular technical analysis tool that helps traders identify overbought and oversold conditions in the financial markets. It was developed by George C. Lane in the late 1950s.The stochastic oscillator compares the closing price of an asset to its price range over a specified period. It consists of two lines, %K and %D, that oscillate between 0 and 100. %K represents the current price in relation to the range, while %D is a moving average of %K.
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5 min readIn MATLAB, you can create a sequence in a function by using loops or by using built-in functions. Here is how you can achieve it:Using Loops: You can use either a for loop or a while loop to create a sequence in a function.
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12 min readBollinger Bands are a technical analysis tool created by John Bollinger. They consist of a centerline (simple moving average) and two price channels (standard deviations above and below the centerline).Bollinger Bands help analyze price volatility and potential price reversals. The upper band represents the overbought zone, while the lower band represents the oversold zone. The width of the bands fluctuates based on market volatility.