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4 min readTo convert the number "8.1076e-05" into "0.0000811" in MATLAB, you can use the following code: num = 8.1076e-05; format shortEng; result = num2str(num, '%.7f'); disp(result); This code first assigns the original number "8.1076e-05" to a variable called "num". It then formats the number in engineering notation using the "format shortEng;" command.
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7 min readTo rotate a plane over the z-axis and y-axis in MATLAB, you can use the rotx, roty, and rotz functions to create rotation matrices for the desired rotations. First, define the angle of rotation for each axis in degrees. Then, multiply the rotation matrices using the * operator to combine the rotations. Finally, apply the combined rotation matrix to the points of the plane using matrix multiplication. This will result in the plane being rotated over the z-axis and y-axis in MATLAB.
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4 min readTo plot the difference of date times in MATLAB, you can first subtract one datetime array from another to get the difference in days. You can then use the days function to convert this difference into a numeric format that can be easily plotted. Finally, you can use the plot function to create a plot of the difference of date times.[rating:a1d39167-d6cc-4129-bda1-33063ad5bdfd]How to create a histogram of date time differences in MATLAB.
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4 min readTo insert a new row after every 5 rows in MATLAB, you can loop through the rows of the matrix and insert a new row at the specific position. You can use the "mod" operator to check if the current row is a multiple of 5, and if so, insert a new row. Make sure to update the index correctly after inserting a new row to avoid infinite loops. This can be done using a for loop and basic matrix manipulation functions in MATLAB.
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5 min readTo determine the intersection of two graphs in MATLAB, you can follow these steps. First, plot both graphs using the plot function. Then, create a vector of x values that span the range of both graphs using the linspace function. Next, use the interp1 function to interpolate the y values of both graphs for the x values. Finally, find the x values where the y values of both graphs are equal, which will give you the intersection points.
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4 min readThe Ichimoku Cloud is a popular technical analysis tool used by traders to identify potential trend reversals and support/resistance levels in the financial markets. In this tutorial, we will explore how to implement the Ichimoku Cloud indicator in Kotlin, a statically-typed programming language that runs on the Java Virtual Machine.To start, we will need to gather historical price data for the financial instrument we want to analyze.
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5 min readLazy evaluation in MATLAB refers to delaying the calculation of expressions until they are actually needed. This can help optimize performance and memory usage by only executing computations when the results are necessary. One way to implement lazy evaluation in MATLAB is by using anonymous functions or function handles to represent the expressions that need to be evaluated. These functions can be stored and then called later when the results are required.
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6 min readBollinger Bands in Perl are a technical analysis tool used to measure volatility and identify potential entry and exit points for trading in financial markets. These bands consist of a moving average line in the center, typically based on a 20-period simple moving average, with two outer bands representing standard deviations above and below the moving average.
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5 min readTo make model predictions using Python in MATLAB, you can first train your machine learning model using Python libraries such as scikit-learn or TensorFlow. Once you have trained your model and saved it in a compatible format (such as a .pkl file for scikit-learn models or a .h5 file for TensorFlow models), you can then load the model into MATLAB.To load the model in MATLAB, you can use the PythonEngine package to run Python code from within MATLAB.
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5 min readA pivot point is a technical analysis indicator used in financial markets to predict potential changes in price direction. In VB.NET, pivot points can be calculated using various formulas, such as the Standard Pivot, Fibonacci Pivot, and Camarilla Pivot.The Standard Pivot formula is calculated by adding the high, low, and closing prices from the previous trading session and then dividing by three.
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5 min readTo create a new matrix with a for loop in MATLAB, you can first initialize an empty matrix with the desired size. Then, you can use a nested for loop to iterate over each element in the matrix and assign a value to it based on your desired logic or calculation.