Enroll Course: https://www.udemy.com/course/python-aws-a-z/
Are you looking to dive into the world of algorithmic trading and build your own data-driven strategies? The Udemy course, ‘【한글자막】 Python, 머신 러닝, AWS와 함께하는 알고리즘 트레이딩 A-Z’ (Algorithm Trading A-Z with Python, Machine Learning, and AWS), is an incredibly comprehensive and hands-on program that promises to equip you with the knowledge and skills needed to succeed. As someone who has explored various trading courses, I can confidently say this one stands out for its depth and practical application.
The course boldly claims to be the first 100% data-based trading course, and it certainly lives up to that promise. It tackles the often-overlooked ‘five rules of trading’ that many retail traders, who unfortunately lose money, fail to understand or implement. The instructor, a data scientist and seasoned finance professional, breaks down these rules into digestible, actionable steps.
**What Makes This Course Exceptional?**
1. **Foundation in Trading Mechanics:** The initial modules provide a thorough understanding of trading terminology and mechanics, covering essential concepts like bid-ask spreads, PIPs, leverage, and margin requirements. It even delves into specific brokers like Oanda and FXCM, offering a practical look at the retail trading landscape.
2. **Developing Unique Strategies:** Forget relying on intuition or basic technical indicators. This course teaches you to build sophisticated and unique trading strategies using Python. You’ll learn to combine technical indicators and even develop machine learning and deep learning-powered strategies. The course covers all the necessary Python libraries like Numpy, Pandas, Matplotlib, scikit-learn, Keras, and Tensorflow in a highly practical manner.
3. **Rigorous Backtesting and Forward Testing:** This is where the course truly shines. It offers one of the most comprehensive backtesting and forward testing frameworks I’ve encountered. You’ll learn various techniques, including vectorized and event-based backtesting, and even live testing with paper money. Understanding the nuances between backtesting and forward testing, and knowing when to apply each, is crucial, and this course explains it all.
4. **Accounting for Trading Costs:** The impact of trading costs, even seemingly small ones like the bid-ask spread, can significantly eat into profits. This course demonstrates how to find profitable strategies *before* and *after* factoring in these costs, and crucially, how to manage and reduce them.
5. **Automation with AWS:** The ability to automate your trading strategies is a game-changer. The course guides you through deploying your Python strategies on a virtual server (AWS), allowing you to build your own trading bots and schedule them for fully automated trading sessions. This practical aspect of real-time implementation on a cloud server is invaluable.
**Who is this course for?**
This course is ideal for anyone serious about algorithmic trading. Whether you’re a beginner looking to build a solid foundation or an intermediate trader wanting to enhance your strategy development and automation skills, this course offers immense value. Even if you’re not in a region where CFD/Forex trading is permitted, the core coding, strategy creation, and backtesting components are still highly relevant and beneficial.
**Recommendation:**
I highly recommend the ‘Algorithm Trading A-Z with Python, Machine Learning, and AWS’ course on Udemy. It’s a deep dive into a complex subject, delivered with clarity and practical examples. The instructor’s expertise is evident, and the course structure ensures you’re not just learning theory but building tangible skills. If you’re ready to move beyond basic trading and embrace a data-driven, systematic approach, this is the course for you. You’ll gain the confidence and the tools to potentially build your own profitable trading systems.
Enroll Course: https://www.udemy.com/course/python-aws-a-z/