How to Use Python for Stock Price Prediction (and Maybe Retire at 25)

How to Use Python for Stock Price Prediction and Maybe Retire at 25

Let’s face it, projecting the stock prices is about as reliable as guessing what your cat is thinking. Except instead of a cat, it is Wall Street, and instead of scratching the couch, it is your life savings at stake. Well, fear not! Thanks to Python and some magic masquerading as machine learning, you may just unlock the secrets of the market-or at least, impress your friends.

**Step 1: Play the role of a Data Scientist First things first/install Python if you haven’t already. You can download it from python.org. Once you’ve done that, get some essential packages. Run this in your terminal:

You now have everything you need to sound fancy in conversations at Starbucks.

Step 2: Steal (Legally) Some Stock Data

Thanks to Yahoo Finance, you don’t need to beg a hedge fund for their spreadsheets. Using the yfinance library, you can fetch historical stock data with just a few lines of code: