In this article I will show you the formulas to calculate daily, monthly, yearly and continuous compound interest by using examples and Python.
In this article I will cover how to use Python to import a list of debts and calculate the amount that should be paid every month of repayment. Then I will show you how to tease out important information such as the total interest paid by loan and the number of months each loan spends in repayment.
In this article I will show how to code your own Debt Snowball Calculator in Python. I will cover how to create your own snowball function and plot out relevant results.
In this article I will cover how to construct a simulation with the 4% rule for retirement as the premise in Python. Within the code you can adjust your own planning considerations and plot out your expected returns based on the random assignment of historical stock market returns over a defined period.
In this article I will show you how to wield Python to calculate the benefit of paying additional money towards your mortgage. Scenarios where an additional amount is paid every month, or even midway through the loan period will be considered.
In this article I show how to pull in data for various stocks and simulate how dollar cost averaging would have performed over a custom time period using Python code.
In this blog post I’ve consolidated several resources to get you on your way with using Python to trade at Robinhood through the ‘Robinhood API’. Robinhood’s democratization of investing for small time investors has been a great boon for bringing complex investing tools to the masses.
An up to date collection of financial data sources for use with Machine Learning Models and Algorithmic Trading. CSVs, APIs, Python and R packages are included.
Use Python Code to calculate the Compound Annual Growth Rate of various Stock Market Tickers giving you an accurate and timely comparison of performance.
This VERY short but sweet article will help you Set Up Google CoLab quickly.