Algorithmic Trading A-Z with Python, Machine Learning & AWS
What you will learn
Build automated Trading Bots with Python and Amazon Web Services (AWS)
Create powerful and unique Trading Strategies based on Technical Indicators and Machine Learning / Deep Learning.
Rigorous Testing of Strategies: Backtesting, Forward Testing and live Testing with paper money.
Fully automate and schedule your Trades on a virtual Server in the AWS Cloud.
Truly Data-driven Trading and Investing.
Python Coding and Object Oriented Programming (OOP) in a way that everybody understands it.
Coding with Numpy, Pandas, Matplotlib, scikit-learn, Keras and Tensorflow.
Understand Day Trading A-Z: Spread, Pips, Margin, Leverage, Bid and Ask Price, Order Types, Charts & more.
Day Trading with Brokers OANDA, Interactive Brokers (IBKR) and FXCM.
Stream high-frequency real-time Data.
Understand, analyze, control and limit Trading Costs.
Use powerful Broker APIs and connect with Python.
Course Gallery
Charts
Comidoc Review
Our Verdict
The Algorithmic Trading A-Z with Python, Machine Learning & AWS course on Udemy not only teaches the technical skills required in algorithmic trading but goes beyond expectations. With its comprehensive curriculum, industry expertise, abundant exercises, and resources, it offers immense learning potential for both beginners and experienced traders looking to hone their craft or add data-driven strategies to their repertoire.\n\nDespite minor concerns about explanations of pre-written codes, overall structure, and progression between sections, the strengths vastly outweigh these weaknesses. This Udemy course comes recommended as invaluable content for anyone keen on understanding and implementing algorithmic trading and data analysis.\n\nFor students committed to long-term professional growth, consider this course a worthy companion with excellent potential returns on your investment of both time and resources.
What We Liked
- The course stands out with its comprehensive coverage of algorithmic trading using Python, Machine Learning & AWS, taking you from beginner to advanced level in a structured manner.
- An impressive range of topics are taught thoroughly and at an ideal pace, including Technical Indicators, Machine Learning/Deep Learning strategies, backtesting, and automating trades with AWS Cloud.
- The course offers highly valuable exercises, resources, and code snippets that can be downloaded for hands-on experience—essential for mastering complex concepts like coding with Numpy, Pandas, Matplotlib, scikit-learn, Keras, Tensorflow, and utilizing Broker APIs.
- Instructors with 10+ years of industry experience provide an invaluable perspective on Algorithmic Trading, Data Analysis, Machine Learning, and real-world challenges.
Potential Drawbacks
- A few students mention the need for clearer explanations when presenting pre-written codes. An enhanced focus on writing and explaining code with a line-by-line breakdown of its components might improve overall understanding.
- The structure could be improved to better address the problem question, providing tighter and more focused learning objectives that minimize time spent on broker specifics or debugging.
- Some students may find a few areas disorganized, which could be addressed by rearranging sections to establish logical progression and cohesion.