Download Free Python Technical Analysis Course
Learn how to analyze financial data with Python. Download this free premium course and start coding financial indicators today.
The Python for Technical Analysis Crash Course Overview:
This premium video course teaches you how to perform financial analysis using Python, and it’s completely free to access. You will start by setting up your Python environment and quickly dive into downloading and cleaning financial data like stocks, forex, crypto, and futures. The instructor walks you through adding new data columns and analyzing it with Python’s built-in functions, offering real-time application of technical concepts.
You’ll also code key financial indicators such as Bollinger Bands and Fibonacci Retracement Levels. The course introduces powerful data visualization tools like Matplotlib and Plotly, helping you present your analysis effectively. Whether you aim to explore trading strategies or build financial models, this free premium course provides hands-on experience for mastering the process through real-world applications.
Master financial data analysis in Python through real-world examples and free premium lessons.
What You’ll Learn in The Python for Technical Analysis Crash Course:
- Set up a complete Python environment for financial projects
- Download market data for stocks, forex, futures, and crypto
- Clean, format, and prepare financial data tables using Python
- Build financial indicators like Bollinger Bands and Fibonacci Levels
- Create effective data visualizations with Matplotlib and Plotly
Course Highlights:
- Instructor Expertise: Created by Jesse Anderson, certified technical communicator and data expert
- Publisher: Published by Udemy in September 2024
- Language: English
- File Type: .rar / .zip format
- Size: 881 MB download package
- Course Version: 2024 edition with up-to-date content
Python Crash Course Info:
This course delivers a comprehensive guide for using Python in technical financial analysis. Jesse Anderson designed the lessons to help students understand, clean, and analyze market data while applying key trading strategies. The content blends coding and visualization tools, ideal for learners interested in financial markets. You will also get experience working with real data sets while creating custom indicators. This hands-on approach ensures practical learning that supports both beginners and experienced developers.
Leave a Reply
You must be logged in to post a comment.