Algorithmic Trading A-Z with Python, Machine Learning & AWS Coupon Code. Build your own truly Data-driven Day Trading Bot | Learn how to create, test, implement & automate unique Strategies.
Algorithmic Trading A-Z with Python, Machine Learning & AWS
Algorithmic Trading A-Z with Python, Machine Learning & AWS Course. Welcome to the most comprehensive Algorithmic Trading Course. It´s the first 100% Data-driven Trading Course! Course fully revised and updated in November 2025 with 100+ new or updated Lectures.
Did you know that 75% of retail Traders lose money with Day Trading? (some sources say >95%). For me as a Data Scientist and experienced Finance Professional this is not a surprise. Day Traders typically do not know/follow the five fundamental rules of (Day) Trading. This Course covers them all in detail!
What you’ll 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.
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Who this course is for:
- (Day) Traders and Investors who want to professionalize and automate their Business.
- (Day) Traders and Investors tired of relying on simple strategies, chance and hope.
- Finance & Investment Professionals who want to step into Data-driven and AI-driven Finance.
- Data Scientists and Machine Learning Professionals.
Instructor
Alexander Hagmann – Alexander is a Data Scientist and Finance Professional with more than 10 years of experience in the Finance and Investment Industry.
He is also a Bestselling Udemy Instructor for
- Data Analysis/Manipulation with Pandas
- (Financial) Data Science
- Python for Business and Finance
- Algorithmic Trading
Alexander started his career in the traditional Finance sector and moved step-by-step into Data-driven and Artificial Intelligence-driven Finance roles. He is currently working on cutting-edge Fintech projects and creates solutions for Algorithmic Trading and Robo Investing. And Alexander is excited to share his knowledge with others here on Udemy. Students who completed his courses work in the largest and most popular tech and finance companies all over the world.
