Python for Finance

In this blog post, we will demonstrate how to perform a Value at Risk (VaR) simulation for a portfolio of stocks using Python and the yfinance library. We will use historical stock prices to calculate the expected return and standard deviation of the portfolio, and then run a Monte Carlo simulation to estimate the VaR. […]

https://youtu.be/ZgIgoTlSQU4 In this blog post, we will demonstrate how to download historical stock prices using the yfinance library and Python, and then export the data to an Excel file. We will create a list of stock tickers, define a time range, download the closing prices for each ticker within that time range, and store the […]

In this blog article, we will walk through a simple Python script that uses the yfinance and pandas libraries to download and analyze historical stock market data. We will focus on five popular exchange-traded funds (ETFs) – SPY, BND, GLD, QQQ, and VTI – and display their close prices over the past two years. This […]

https://youtu.be/uOqPElBsBmM In this blog post, we will introduce some Python basics, including variable types, control flow statements, and importing libraries. After that, we will dive into stock analysis using the Yahoo Finance library to retrieve stock data, calculate returns, and visualize the results. Let’s begin by looking at some basic Python operations and python for […]

https://youtu.be/zSAQxq6YOxg In this blog post, we’ll explore how to analyze company financials using DuPont Analysis and Python. We’ll retrieve financial data using the AlphaVantage API, parse the data, and calculate key financial ratios to evaluate a company’s performance. To get started, let’s take a look at the code and understand the python for financial analysis […]