Algorithmic Stock Trading and Equity Investing with Python

Interactive Brokers (IBKR) for Algorithmic Trading & Portfolio Investing | Stock Market Analysis, ETF Trading & Theory
What you'll learn
Algorithmic Stock Trading with Python and the Interactive Brokers (IBKR) API
Automated ETF & Equity Portfolio Investing
Passive (ETF), Semi-Active and Active Investing
Stock Trading Strategies with multiple Tickers
Equity Portfolio Optimization, Management & Rebalancing
Backtesting and Implementation of Trading & Investment Strategies
Technical Analysis and Indicators
Fundamental Analysis
Stock Indices and Index Tracking/Replication
How to measure, benchmark & improve the Performance of your Equity Portfolio
Loading and analysing Stock Data from (free) Web Sources
API Trading with Interactive Brokers
Python Basics & Numpy, Pandas, Matplotlib
Truly Data-driven Trading and Investing
Black-Litterman Model
Requirements
No Python experience needed. This course provides a Python Crash Course.
No Finance/Investment knowledge required. You will learn everything you need to know.
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).
Description
Welcome to the most comprehensive and complete course on (automated) Stock Trading and Equity Investing!
This course covers
Automated Stock Trading for Income Generation (Algo Trading, Day Trading & more)
Automated ETF & Equity Portfolio Investing for long-term Wealth Accumulation (passive, semi-active, and active Investing)
with Python and Interactive Brokers (IBKR).

At the end of the course, you´ll have mastered all four aspects required for long-term success:
Theory (Finance & Investing 101): What you really need to know before you trade/invest in stocks.
Data: Successful Investment and Trading Strategies are data-driven.
API Trading with Interactive Brokers: Automated Paper Trading and Live Trading with low Spreads and Commissions (no inactivity fees)
Python: The right tool that integrates Theory, Data, and API Trading. This course explains the code and covers everything you need to know in a Python Crash Course (for beginners).

Some Highlights:
Load and analyze Stock Market Data (historical prices, financial statements, ratios, valuation multiples) for thousands of stocks
Trade stocks on various exchanges and from various world regions (North America, Europe, India, Australia, etc.)
Fundamental Analysis,  Technical Indicators, and Optimization Techniques explained.
Trading Strategies with multiple Tickers/Instruments at once
Test and improve your skills in various Keystone Projects (new concept)

What else should you know about me and the course?
The course shows how to do things right. But equally important, it highlights the most commonly made mistakes in Trading & Investing. There is hardly any other business where beginners make so many mistakes. Why is that? A lack of skills, expertise, and experience. And: Overconfidence and overreliance on intuition. As a finance professional with an extensive academic background (MSc in Finance, CFA) my clear message is: For Trading and Investing, intuition and common sense are not your best friends. Very often, the most intuitive solution is not the correct solution!       
This course is "not only" a Stock trading and Equity investing course but also an in-depth Python Course that goes beyond what you can typically see in other courses. Create hands-on Applications with Python and use it for your Trading & Investing Business!

What are you waiting for? Join now!
Thanks and looking forward to seeing you in the Course!

Who this course is for:
Beginners who want to start with Stocks/equities and want to do it right straight way (avoiding common mistakes).
Stock Traders and Investors who want to professionalize and automate their Business.
Finance & Investment Professionals who want to step into Data-driven Finance.
Data Scientists and Machine Learning Professionals with an interest in Investing into Stocks/Equities.

More Info