Python Stock Scraping Tutorial: How to Build a Flask App to Visualize Stock Data 📈

In this tutorial, you'll learn how to scrape stock prices and visualise daily changes using Python, Flask, and Matplotlib. We'll guide you through setting up a virtual environment, installing necessary libraries, and creating a Flask web app to fetch json and display stock data from the Alpha Vantage API allowing you to easily automate stock, forex and crypto data.

What You'll Learn:
Setting Up a Virtual Environment: Create and activate a Python virtual environment for your project.
Installing Libraries: Install Flask, requests, and Matplotlib for web development and data visualisation.
Scraping Stock Data: Use the requests library to fetch stock prices from the Alpha Vantage API.
Visualising Data: Create bar charts with Matplotlib to display daily changes in stock prices.
Building a Flask App: Develop a web app to input stock symbols and display the data visually.
This tutorial is perfect for beginners and those looking to enhance their web scraping and data visualisation skills. By the end of this video, you'll have a fully functional Flask web app that can scrape and visualise stock data.

Keywords:
Python, Flask, Matplotlib, Web Scraping, Stock Data, Data Visualisation, Alpha Vantage API, Python Tutorial, Web Development, Data Analysis, Python Flask Project

Check out the full tutorial and start building your own stock data visualisation app today! Don't forget to like, subscribe, and hit the notification bell for more exciting tutorials! 🚀

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