Backtesting a well known investment stratergy with python

I backtested a well know investment stratergy with python called SMA 200 to find out if it is really worth its value. Please read my project description here: https://theo-xiao-sg.github.io/investment.html

Running Guide

This project is based on the Python programming language and primarily utilizes standard libraries like yfinance, datetime, matplotlib and os

Environment Setup

Download the requirements.txt and install the required Python libraries. Please note all my 4 projects share the same requirements.txt. If you have done the installation for one project, you can skip it for the other 3 projects

# install all packages using requirements.txt
python -m pip install -r requirements.txt

Trying it out

• Run moving_average_main.py in the folder, a few images will be saved in the folder of "images"
• Feel free to change the ticker to any other stocks (in line 17-24) and the SMA days (in line 41) you like and see the results. However, the conclusion still hold: SMA is not as profitable as many investment gurus claim.