Python Charting Stocks/Forex for Technical Analysis Part 2 - How to get free Stock Prices

TL;DR

This tutorial shows how to use Python to pull stock price data from a website and save it in a file.

Transcript

hello everybody and welcome to part two of our basic stock price acquisition tutorial once you've installed Python if you want to get to this window and you don't know how go over to your Start bar or whatever your bar is called and look for idle just type in ideally if you're on Windows and you'll click on that program idle and you should see some... Read More

Key Insights

• 📚 Python's urllib library is useful for visiting websites and retrieving data.
• 👋 Including a timer is good practice to avoid overwhelming a website with requests.
• ℹ️ Splitting and filtering data from a source code helps to extract the desired information efficiently.
• 💾 The extracted data can be saved in a text file for further analysis and manipulation.
• 🍵 The tutorial demonstrates a basic implementation but can be expanded to handle multiple stocks easily.
• 👨‍💻 The code provides a useful foundation for automating repetitive tasks in stock analysis.
• 🪡 Beginners may need some prior knowledge of Python to fully understand the tutorial.

Questions & Answers

Q: What is the purpose of using the Python programming language in this tutorial?

Python is used to automate the process of pulling stock price data from a website, saving time and effort compared to manual extraction.

Q: Why is it important to include a timer when pulling multiple stocks?

Including a timer prevents overloading the website with requests, ensuring a smoother extraction and avoiding potential issues.

Q: How is the stock price data obtained from the website?

The code uses Python's urllib library to visit a specific URL, which contains the desired stock price data. The source code of the page is then extracted and processed.

Q: Can this code be used to extract data for multiple stocks?

Yes, the code can be easily modified to pull data for multiple stocks by passing different stock symbols as parameters.

Summary & Key Takeaways

• The tutorial demonstrates how to use Python's urllib library to visit a website and obtain stock price data.

• The code includes a timer to avoid overwhelming the website with requests.

• The data is split and filtered to extract the desired information before being saved in a text file.