Algorithmic Trading A-Z with Python, Machine Learning & AWS
Algorithmic Trading A-Z with Python, Machine Learning & AWS Course, Build your own truly Data-driven Day Trading Bot | Learn how to create, test, implement & automate unique Strategies.
Algorithmic Trading Course Details
Welcome to the most comprehensive Algorithmic Trading Course. It´s the first 100% Data-driven Trading Course!
*** April 2024: 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!
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. |
Specification Algorithmic Trading A-Z with Python Course
| Instructor | Alexander Hagmann |
| Duration | 43 hours |
| Languages | English [Auto], Korean [Auto], Simplified Chinese [Auto], Spanish [Auto] |
| Provider | Udemy |
Recommended Algorithmic Trading Course
Performance Optimization and Risk Management for Trading
Algorithmic Trading Strategies In Python
The Complete Financial Analyst Course 2024 Best seller
