Algorithmic Stock Trading and Equity Investing with Python

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Algorithmic Stock Trading and Equity Investing with Python
Last updated 5/2023
Created by Alexander Hagmann
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 452 Lectures ( 37h 21m ) | Size: 10.8 GB

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
Equity Portfolio Optimization, Management & Rebalancing
Backtesting and Implementation of Trading & Investment Strategies
Technical Analysis and Indicators
Stock Indices and Index Tracking / Replication
How to measure and 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 EquityInvesting!This course coversAutomated Stock Trading for Income Generation (Algo Trading, Day Trading & more)Automated Equity Portfolio Investing for long-term wealth accumulation (Portfolio Optimization, Management & Rebalancing incl. ETF)with Python and Interactive Brokers (IBKR) It is the only Stock Trading/Investing course that covers all four aspects required for long-term success:Theory (Finance & Investing 101): What you really need to know before you trade/invest stocksData: Successful Investment and Trading Strategies are data-driven. API Trading with Interactive Brokers: Automated Real Trading &Paper Trading with low Spreads and CommissionsPython: The right tool that integrates Theory, Data, and APITrading. This course covers everything you need to know in a Python Crash Course (Appendix).Some Highlights:Load and analyze Data (historical prices, financial statements, ratios, valuation multiples) for thousands of stocks Trade stocks on various exchanges and from various world regions (United States, Europe, India, Australia, etc.)Use Fundamental Analysis, Technical Indicators, and Optimization Techniques.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.


Homepage

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