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” (Algorithmic Trading A-Z with Python, Machine Learning, and AWS) is a comprehensive program that promises to equip you with the knowledge and skills needed to succeed.

This course stands out by focusing on a 100% data-driven approach to trading, a crucial aspect often overlooked by many retail traders who, according to statistics, often lose money. The instructor, a data scientist and seasoned financial professional, emphasizes the ‘five rules of trading’ that are essential for success, and this course meticulously covers each one.

One of the most compelling aspects of this course is its practical, hands-on approach. You’ll learn to build and deploy your trading strategies in real-time using Python and a virtual server on AWS. The course delves deep into Python, covering essential libraries like Numpy, Pandas, Matplotlib, scikit-learn, Keras, and Tensorflow. You’ll even learn how to feed real-time data into machine learning and deep learning algorithms for sophisticated trading operations.

The course is structured around five key pillars:

1. **Understanding the Day Trading Business:** This section ensures you’re familiar with crucial trading terminology like bid-ask spreads, PIPs, leverage, and margin requirements. It provides an in-depth look at the mechanics of day trading across various markets (Forex, stocks, indices, commodities) with a focus on brokers like Oanda and FXCM.
2. **Developing Robust Trading Strategies:** Move beyond simple technical indicators. You’ll learn to craft unique and complex strategies by combining technical analysis with machine learning and deep learning models. The course provides the coding skills necessary to implement these advanced strategies.
3. **Rigorous Strategy Testing (Backtesting & Forward Testing):** Before risking capital, you need to validate your strategies. This course offers one of the most thorough backtesting and forward testing modules available, covering vectorized and event-driven backtesting, as well as live testing with paper money.
4. **Accounting for Trading Costs:** Profitability can be significantly impacted by trading costs like spreads and commissions. The course demonstrates how to find profitable strategies even after accounting for these costs and teaches you how to manage and reduce them.
5. **Automating Your Trades:** Eliminate human error and emotional decision-making by automating your trading. You’ll learn to deploy your strategies on AWS, creating your own trading bots and scheduling them for automated execution.

While the course mentions specific brokers like Oanda and FXCM, it’s important to note that due to regulations in certain countries, access to CFD/Forex trading might be restricted. However, the core of the course – the coding, strategy development, and testing – does not require a live broker account, making it valuable even if you can’t engage in live trading.

Overall, “Algorithmic Trading A-Z with Python, Machine Learning, and AWS” is a highly recommended course for anyone serious about algorithmic trading. It offers a rare blend of theoretical knowledge and practical implementation, empowering you to build, test, and automate your trading strategies effectively.

Enroll Course: https://www.udemy.com/course/python-aws-a-z/