Algorithmic Trading A-Z with Python, Machine Learning & AWS
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.
- No prior Python knowledge required. This course provides a Python Crash Course.
- No prior Finance/Trading knowledge required. This course explains the Basics.
- A desktop computer (Windows, Mac, or Linux) capable of storing and running Anaconda. The course will walk you through installing the necessary free software.
- An internet connection capable of streaming HD videos.
- Some high school level math skills would be great (not mandatory, but it helps)
Welcome to the most comprehensive Algorithmic Trading Course. It´s the first 100% Data-driven Trading Course!
*** MARCH 2023: Course fully updated and now with an additional Broker: Interactive Brokers (IBKR)***
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!
1. Know and understand the Day Trading Business
Don´t start Trading if you are not familiar with terms like Bid-Ask Spread, Pips, Leverage, Margin Requirement, Half-Spread Costs, etc.
Part 1 of this course is all about Day Trading A-Z with the Brokers Oanda, Interactive Brokers, and FXCM. It deeply explains the mechanics, terms, and rules of Day Trading (covering Forex, Stocks, Indices, Commodities, Baskets, and more).
2. Use powerful and unique Trading Strategies
You need to have a Trading Strategy. Intuition or gut feeling is not a successful strategy in the long run (at least in 99.9% of all cases). Relying on simple Technical Rules doesn´t work either because everyone uses them.
You will learn how to develop more complex and unique Trading Strategies with Python. We will combine simple and also more complex Technical Indicators and we will also create Machine Learning- and Deep Learning- powered Strategies. The course covers all required coding skills (Python, Numpy, Pandas, Matplotlib, scikit-learn, Keras, Tensorflow) from scratch in a very practical manner.
3. Test your Strategies before you invest real money (Backtesting / Forward Testing)
Is your Trading Strategy profitable? You should rigorously test your strategy before 'going live'.
This course is the most comprehensive and rigorous Backtesting / Forward Testing course that you can find.
You will learn how to apply Vectorized Backtesting techniques, Iterative Backtesting techniques (event-driven), live Testing with play money, and more. And I will explain the difference between Backtesting and Forward Testing and show you what to use when. The backtesting techniques and frameworks covered in the course can be applied to long-term investment strategies as well!
4. Take into account Trading Costs - it´s all about Trading Costs!
"Trading with zero commissions? Great!" ... Well, there is still the Bid-Ask-Spread and even if 2 Pips seem to be very low, it isn´t!
The course demonstrates that finding profitable Trading Strategies before Trading Costs is simple. It´s way more challenging to find profitable Strategies after Trading Costs! Learn how to include Trading Costs into your Strategy and into Strategy Backtesting / Forward Testing. And most important: Learn how you can control and reduce Trading Costs.
5. Automate your Trades
Manual Trading is error-prone, time-consuming, and leaves room for emotional decision-making.
This course teaches how to implement and automate your Trading Strategies with Python, powerful Broker APIs, and Amazon Web Services (AWS). Create your own Trading Bot and fully automate/schedule your trading sessions in the AWS Cloud!
Finally... this is more than just a course on automated Day Trading:
the techniques and frameworks covered can be applied to long-term investing as well.
it´s an in-depth Python Course that goes beyond what you can typically see in other courses. Create Software with Python and run it in real-time on a virtual Server (AWS)!
we will feed Machine Learning & Deep Learning Algorithms with real-time data and take ML/DL-based actions in real-time!
What are you waiting for? Join now. As always, there is no risk for you as I provide a 30-Days-Money-Back Guarantee!
Thanks and looking forward to seeing you in the Course!
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.
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.
Alexander´s courses have one thing in common: Content and concepts are practical and real-world proven. The clear focus is on acquiring skills and understanding concepts rather than memorizing things.
Alexander holds a Master´s degree in Finance and passed all three CFA Exams (he is currently no active member of the CFA Institute).