Algorithmic Stock Trading and Equity Investing with Python
Deal Score+8
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 | 33.5 hours on-demand video course
Welcome to the most comprehensive and complete course on (automated) Stock Trading and Equity Investing! This Algorithmic Stock Trading and Equity Investing with Python 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).
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
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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.
