Algorithmic Stock Trading and Equity Investing with Python

Interactive Brokers (IBKR) for Algorithmic Trading & Portfolio Investing | Stock Market Analysis, ETF Trading & Theory

Created by: Alexander Hagmann
Data Scientist | Finance Professional | Entrepreneur

What Will I 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
• Equity Valuation Methods (DDM and Multiples)
• 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
• Asset-Pricing Models (CAPM)
• 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).

Target audience

• 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.