What you’ll learn
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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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Equity Valuation Methods (DDM and Multiples)
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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 analysing 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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Asset-Pricing Models (CAPM)
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Black-Litterman Model
Deal Score0
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