Automate Your Stock Market Portfolio for FREE (Python, Kestra, AWS Tutorial)

Want to put your stock market analysis on complete autopilot? 🔥💸 In this comprehensive tutorial, I'll show you how to build your very own powerful automated portfolio tracking system completely for FREE using Python, Kestra, and AWS. I also want to wish a BIG thank you to the amazing team over at Kestra for sponsoring this video and this epic build! 🚀 Let's talk about orchestration — and how we can automate our workflows to make our lives easier, more productive, and more valuable. I couldn't think of a better topic to illustrate this, than by using Kestra, Python, and AWS to automate stock market analysis all... ... which is something that hedge funds, investment bankers, and finance gurus spend hundreds to even thousands of dollars each month for access to this type of data. However, we're going to be creating our own system completely for FREE! No expensive API subscriptions needed! We'll leverage Kestra's open-source plan, Python, and free services available to coders to build what would normally cost hundreds or thousands of dollars per month. 💻 We'll create an event-driven architecture that: - Tracks real-time stock prices every 5 minutes - Processes and analyzes market data automatically - Stores historical data in a scalable AWS data lake - Monitors your portfolio around the clock - Sends automated alerts for price movements 💡 What you'll learn: - Setting up Kestra for workflow orchestration - Building automated data pipelines with Python - Creating a data lake architecture in AWS - Implementing real-time monitoring systems - Deploying production-ready infrastructure Whether you're a developer looking to level up your portfolio analysis or just getting started with automation, this tutorial breaks down everything step-by-step. Time to work smarter, not harder! ⏰ TIMESTAMPS: 00:00 Introduction to Automation with Kestra 03:40 Overview of Kestra.io Platform 06:23 Project Overview: Stock Market Monitor 08:28 Setting Up Kestra with Docker 14:42 Creating Our First Flow 23:43 Debugging and Fixing Flow Issues 30:08 Building the Market Monitor System 41:20 Creating AWS Infrastructure 54:07 Setting Up Data Lake Architecture 1:04:05 Deploying to Production Options 1:11:47 Enterprise Features and Considerations 1:40:35 Recap and Conclusion 💼 RESOURCES: - 👨‍💻 Get the code: https://fnf.dev/3EjiWGN - 🔗 Check out Kestra: https://fnf.dev/4h9UkPg #dataanalysis #python #softwareengineering