GetFreeCourses.Co-Udemy-Algorithmic Stock Trading and Equity Investing with Python

1. 3. Equity Markets and Stock TradingInvesting/5. Investing vs. Trading.mp4 140.50 MB
2. 5. Equity Analysis with Python (Part 1)/4. yfinance API - first steps.mp4 106.62 MB
3. 7. Equity Analysis with Python (Part 2)/5. Market Value vs. Book Value (Part 1).mp4 104.03 MB
4. 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/11. How to traceback more complex Errors.mp4 99.11 MB
5. 11. Financial Data Analysis and Performance Evaluation/16. (Non-) Normality of Financial Returns.mp4 98.82 MB
6. 9. Introduction to Interactive Brokers (IKBR) and API Trading/18. Market Orders and Trades.mp4 90.66 MB
7. 28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/50. Customization of Plots.mp4 86.12 MB
8. 30. Appendix 5 Object Oriented Programming (OOP)/12. Inheritance.mp4 85.56 MB
9. 28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/30. Slicing Rows and Columns with loc (label-based indexing).mp4 82.79 MB
10. 28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/13. Coding Exercise 7.mp4 79.26 MB
11. 5. Equity Analysis with Python (Part 1)/10. Stock Splits.mp4 76.42 MB
12. 17. Equity Portfolio Optimization and Analysis/5. Portfolio Optimization.mp4 76.14 MB
13. 5. Equity Analysis with Python (Part 1)/9. What´s the Adjusted Close Price.mp4 75.32 MB
14. 3. Equity Markets and Stock TradingInvesting/1. Asset Classes - Overview.mp4 74.61 MB
15. 23. Stock trading with Technical Indicators - Backtesting/3. Defining an SMA Crossover Strategy.mp4 73.55 MB
16. 9. Introduction to Interactive Brokers (IKBR) and API Trading/9. Trading Costs - Commissions.mp4 73.50 MB
17. 15. ETF Investing and Index Replication Tracking/3. The S&P500 Index and its ETFs - Full Replication.mp4 73.44 MB
18. 28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/33. Analyzing Numerical Series with unique(), nunique() and value_counts().mp4 73.25 MB
19. 11. Financial Data Analysis and Performance Evaluation/14. Comparing the Performance of Financial Instruments.mp4 72.67 MB
20. 28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/55. Categorical Seaborn Plots.mp4 72.49 MB
21. 28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/27. Selecting Rows with iloc (position-based indexing).mp4 70.56 MB
22. 29. Appendix 4 Advanced Pandas Time Series Topics/2. Filling NA Values with bfill, ffill and interpolation.mp4 69.99 MB
23. 30. Appendix 5 Object Oriented Programming (OOP)/1. Introduction to OOP and examples for Classes.mp4 69.51 MB
24. 5. Equity Analysis with Python (Part 1)/13. Saving and Loading Data (Local Files).mp4 69.49 MB
25. 7. Equity Analysis with Python (Part 2)/3. Price vs. Value and Market Efficiency.mp4 68.89 MB
26. 28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/56. Seaborn Regression Plots.mp4 68.09 MB
27. 28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/21. Create your very first Pandas DataFrame (from csv).mp4 67.83 MB
28. 15. ETF Investing and Index Replication Tracking/7. Index Tracking with Optimization (Part 1).mp4 67.45 MB
29. 5. Equity Analysis with Python (Part 1)/8. Dividends.mp4 66.12 MB
30. 11. Financial Data Analysis and Performance Evaluation/19. Rolling Statistics.mp4 65.05 MB
31. 1. Getting started/1. Did you know... (a Sneak Preview on Stock Investing).mp4 64.94 MB
32. 28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/38. Changing Row Index with set_index() and reset_index().mp4 64.46 MB
33. 11. Financial Data Analysis and Performance Evaluation/9. Discrete Compounding.mp4 64.13 MB
34. 9. Introduction to Interactive Brokers (IKBR) and API Trading/16. Contracts (Advanced).mp4 64.07 MB
35. 22. Technical Analysis with Python - Introduction/3. Technical Analysis - Applications and Use Cases.mp4 63.17 MB
36. 7. Equity Analysis with Python (Part 2)/6. Market Value vs. Book Value (Part 2).mp4 62.61 MB
37. 4. Installing Python and Jupyter Notebooks/2. Download and Install Anaconda.mp4 62.29 MB
38. 28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/46. Handling NA Values missing Values.mp4 61.34 MB
39. 3. Equity Markets and Stock TradingInvesting/2. Equities vs. Fixed Income.mp4 61.11 MB
40. 11. Financial Data Analysis and Performance Evaluation/5. Price changes and Financial Returns.mp4 61.09 MB
41. 28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/23. First Data Inspection.mp4 61.00 MB
42. 28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/49. Visualization with Matplotlib (Intro).mp4 60.54 MB
43. 23. Stock trading with Technical Indicators - Backtesting/4. Vectorized Strategy Backtesting.mp4 60.52 MB
44. 22. Technical Analysis with Python - Introduction/8. Bar Size Granularity.mp4 60.37 MB
45. 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/2. Test your debugging skills!.mp4 59.96 MB
46. 9. Introduction to Interactive Brokers (IKBR) and API Trading/20. Historical Data (Bars).mp4 59.08 MB
47. 30. Appendix 5 Object Oriented Programming (OOP)/13. Inheritance and the super() Function.mp4 59.07 MB
48. 26. Appendix 1 Python (& Finance) Basics/38. Coding Exercise 3.mp4 58.83 MB
49. 11. Financial Data Analysis and Performance Evaluation/27. Margin Trading and Levered Returns (Part 2).mp4 58.54 MB
50. 23. Stock trading with Technical Indicators - Backtesting/7. The Backtester Class.mp4 58.16 MB