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 really 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 various world regions (North America, Europe, India, Australia, etc.) Fundamental Analysis, Technical Indicators, and Optimization Techniques 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 into Stocks/Equities.
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).
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/1. Getting started/1. Did you know... (a Sneak Preview on Stock Investing).mp4
63.4 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/11. Financial Data Analysis and Performance Evaluation/14. Comparing the Performance of Financial Instruments.mp4
71 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/11. Financial Data Analysis and Performance Evaluation/16. (Non-) Normality of Financial Returns.mp4
96.5 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/11. Financial Data Analysis and Performance Evaluation/19. Rolling Statistics.mp4
63.5 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/11. Financial Data Analysis and Performance Evaluation/27. Margin Trading and Levered Returns (Part 2).mp4
57.2 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/11. Financial Data Analysis and Performance Evaluation/5. Price changes and Financial Returns.mp4
59.7 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/11. Financial Data Analysis and Performance Evaluation/9. Discrete Compounding.mp4
62.6 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/15. ETF Investing and Index Replication Tracking/3. The S&P500 Index and its ETFs - Full Replication.mp4
71.7 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/15. ETF Investing and Index Replication Tracking/7. Index Tracking with Optimization (Part 1).mp4
65.9 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/17. Equity Portfolio Optimization and Analysis/5. Portfolio Optimization.mp4
74.4 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/22. Technical Analysis with Python - Introduction/3. Technical Analysis - Applications and Use Cases.mp4
61.7 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/22. Technical Analysis with Python - Introduction/8. Bar Size Granularity.mp4
59 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/23. Stock trading with Technical Indicators - Backtesting/3. Defining an SMA Crossover Strategy.mp4
71.8 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/23. Stock trading with Technical Indicators - Backtesting/4. Vectorized Strategy Backtesting.mp4
59.1 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/26. Appendix 1 Python (& Finance) Basics/38. Coding Exercise 3.mp4
57.5 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/13. Coding Exercise 7.mp4
77.4 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/21. Create your very first Pandas DataFrame (from csv).mp4
66.2 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/23. First Data Inspection.mp4
59.6 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/27. Selecting Rows with iloc (position-based indexing).mp4
68.9 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/30. Slicing Rows and Columns with loc (label-based indexing).mp4
80.8 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/33. Analyzing Numerical Series with unique(), nunique() and value_counts().mp4
71.5 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/38. Changing Row Index with set_index() and reset_index().mp4
63 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/46. Handling NA Values missing Values.mp4
59.9 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/49. Visualization with Matplotlib (Intro).mp4
59.1 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/50. Customization of Plots.mp4
84.1 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/55. Categorical Seaborn Plots.mp4
70.8 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/56. Seaborn Regression Plots.mp4
66.5 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/29. Appendix 4 Advanced Pandas Time Series Topics/2. Filling NA Values with bfill, ffill and interpolation.mp4
68.4 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/3. Equity Markets and Stock TradingInvesting/1. Asset Classes - Overview.mp4
72.9 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/3. Equity Markets and Stock TradingInvesting/2. Equities vs. Fixed Income.mp4
59.7 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/3. Equity Markets and Stock TradingInvesting/5. Investing vs. Trading.mp4
137.2 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/30. Appendix 5 Object Oriented Programming (OOP)/1. Introduction to OOP and examples for Classes.mp4
67.9 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/30. Appendix 5 Object Oriented Programming (OOP)/12. Inheritance.mp4
83.6 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/30. Appendix 5 Object Oriented Programming (OOP)/13. Inheritance and the super() Function.mp4
57.7 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/4. Installing Python and Jupyter Notebooks/2. Download and Install Anaconda.mp4
60.8 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/5. Equity Analysis with Python (Part 1)/10. Stock Splits.mp4
74.6 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/5. Equity Analysis with Python (Part 1)/13. Saving and Loading Data (Local Files).mp4
67.9 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/5. Equity Analysis with Python (Part 1)/4. yfinance API - first steps.mp4
104.1 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/5. Equity Analysis with Python (Part 1)/8. Dividends.mp4
64.6 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/5. Equity Analysis with Python (Part 1)/9. What´s the Adjusted Close Price.mp4
73.6 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/6. Excursus How to avoid and debug Coding Errors (don´t skip!)/11. How to traceback more complex Errors.mp4
96.8 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/6. Excursus How to avoid and debug Coding Errors (don´t skip!)/2. Test your debugging skills!.mp4
58.6 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/7. Equity Analysis with Python (Part 2)/3. Price vs. Value and Market Efficiency.mp4
67.3 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/7. Equity Analysis with Python (Part 2)/5. Market Value vs. Book Value (Part 1).mp4
101.6 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/7. Equity Analysis with Python (Part 2)/6. Market Value vs. Book Value (Part 2).mp4
61.1 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/9. Introduction to Interactive Brokers (IKBR) and API Trading/16. Contracts (Advanced).mp4
62.6 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/9. Introduction to Interactive Brokers (IKBR) and API Trading/18. Market Orders and Trades.mp4
88.5 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/9. Introduction to Interactive Brokers (IKBR) and API Trading/20. Historical Data (Bars).mp4
57.7 MB
[TutsNode.net] - Algorithmic Stock Trading and Equity Investing with Python/9. Introduction to Interactive Brokers (IKBR) and API Trading/9. Trading Costs - Commissions.mp4
71.8 MB
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