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A Beginner’s Guide to PyTorch for Stock Data Analysis
Introduction to PyTorch for Stock Data Analysis PyTorch is an open-source machine learning library that provides a powerful set of tools for stock data analysis. It is designed to be both flexible and efficient, allowing users to quickly and easily build deep learning...
The Top 10 Portfolio Tracking Tools for Investors
"Grow Your Portfolio with the Top 10 Tracking Tools for Investors!" Overview of the Top 10 Portfolio Tracking Tools for Investors Investing in the stock market can be a daunting task, especially for those who are new to the process. Fortunately, there are a variety of...
Using Fourier Transforms with PyTorch for Data Analysis
The Fourier transform is a fundamental tool used in signal processing and data analysis. It is used to represent a signal as a sum of sine and cosine waves. This analysis provides insight into the frequencies and components that make up a signal. The Fourier transform...
Extracting & Analyzing Cycles in Stock Prices w/ FFT, Decomposition & Spectral Analysis
One approach is to use technical analysis tools such as the Fast Fourier Transform (FFT) to identify repeating patterns in the data. Other approaches include using time series analysis techniques like decomposition, filtering, and spectral analysis. Let's start with...
Applying Game Theory to Understand Market Behavior
Game theory is a branch of mathematics that studies strategic decision-making. It can be applied to understand market behavior in a number of ways. One way game theory can be applied to understand market behavior is by studying how firms compete with each other. In a...
Understanding the Marginal Expected Shortfall (MES) Formula
The marginal expected shortfall (MES) is a measure of the expected loss that would result from adding a particular investment to a portfolio. It is calculated as the expected loss of the portfolio if the investment is included, minus the expected loss of the portfolio...