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 and Equity Investing with Python
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Algorithmic Stock Trading with Python and the Interactive Brokers (IBKR) API
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Automated ETF & Equity Portfolio Investing
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Passive (ETF), Semi-Active, and Active Investing
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Stock Trading Strategies with multiple Tickers
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Equity Portfolio Optimization, Management & Rebalancing
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Backtesting and Implementation of Trading & Investment Strategies
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Technical Analysis and Indicators
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Fundamental Analysis
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Stock Indices and Index Tracking/Replication
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How to measure, benchmark & improve the Performance of your Equity Portfolio
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Loading and analyzing Stock Data from (free) Web Sources
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API Trading with Interactive Brokers
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Python Basics & Numpy, Pandas, Matplotlib
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Truly Data-driven Trading and Investing
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Black-Litterman Model
Requirements
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No Python experience is needed. This course provides a Python Crash Course.
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No Finance/Investment knowledge is required. You will learn everything you need to know.
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A desktop computer (Windows, Mac, or Linux) capable of storing and running Anaconda. The course will walk you through installing the necessary free software.
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An internet connection is capable of streaming HD videos.
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Some high school-level math skills would be excellent (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 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 different world regions (North America, Europe, India, Australia, etc.)
- Fundamental Analysis, Technical Indicators, and Optimization Techniques are 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 in Stocks/Equities.
Algorithmic Stock Trading and Equity Investing with Python
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