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Algorithmic Stock Trading and Equity Investing with Python

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Algorithmic Stock Trading and Equity Investing with Python

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12.8 GB

Total Files

663

Last Seen

2024-07-23 00:01

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26BB348C7B8D92D96E31CECB7720C417C41AAFD5

/.../3. Equity Markets and Stock TradingInvesting/

5. Investing vs. Trading.mp4

143.9 MB

1. Asset Classes - Overview.mp4

76.4 MB

2. Equities vs. Fixed Income.mp4

62.6 MB

3. Equities - Categories and Sub Classes.mp4

51.6 MB

4. Top-Down vs. Bottom-Up.mp4

33.0 MB

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TutsNode.net.txt

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/.../5. Equity Analysis with Python (Part 1)/

4. yfinance API - first steps.mp4

109.2 MB

10. Stock Splits.mp4

78.3 MB

9. What´s the Adjusted Close Price.mp4

77.1 MB

13. Saving and Loading Data (Local Files).mp4

71.2 MB

8. Dividends.mp4

67.7 MB

7. Data Frequency.mp4

58.7 MB

6. Analysis Period.mp4

56.0 MB

1. Yahoo Finance - Overview.mp4

54.8 MB

12. Multiple Tickers.mp4

51.6 MB

11. Stocks from other Countries Exchanges.mp4

46.6 MB

14. Coding Challenge.mp4

31.4 MB

2. How to open and work with the Course Notebooks.mp4

25.3 MB

5. Excursus Versions and Package Updates.mp4

12.9 MB

3. How to Install yfinance.mp4

12.7 MB

/.../7. Equity Analysis with Python (Part 2)/

5. Market Value vs. Book Value (Part 1).mp4

106.5 MB

3. Price vs. Value and Market Efficiency.mp4

70.5 MB

6. Market Value vs. Book Value (Part 2).mp4

64.1 MB

8. Market Value vs. Book Value (Part 3).mp4

46.2 MB

9. How to load Financial Statements.mp4

45.9 MB

7. Liquidation Value.mp4

42.3 MB

2. Price, Shares Outstanding & Market Capitalization.mp4

41.2 MB

1. Getting more Information on Stocks - the Ticker Object.mp4

38.9 MB

4. Equity Value, Firm Value and Financial Distress.mp4

30.3 MB

/.../6. Excursus How to avoid and debug Coding Errors (don´t skip!)/

11. How to traceback more complex Errors.mp4

101.5 MB

2. Test your debugging skills!.mp4

61.4 MB

5. Omitting cells, changing the sequence and more.mp4

52.4 MB

10. Getting help on StackOverflow.com.mp4

41.4 MB

4. The most commonly made Errors at a glance.mp4

37.2 MB

12. Problems with the Python Installation.mp4

35.6 MB

6. IndexErrors.mp4

32.6 MB

15. Summary and Debugging Flow-Chart.mp4

27.6 MB

13. External Factors and Issues.mp4

18.3 MB

1. Introduction.mp4

18.0 MB

9. TypeErrors and ValueErrors.mp4

17.6 MB

14. Errors related to the course content (Transcription Errors).mp4

17.2 MB

8. Misuse of function names and keywords.mp4

13.0 MB

7. Indentation Errors.mp4

12.8 MB

3. Major reasons for Coding Errors.mp4

5.7 MB

/.../11. Financial Data Analysis and Performance Evaluation/

16. (Non-) Normality of Financial Returns.mp4

101.2 MB

14. Comparing the Performance of Financial Instruments.mp4

74.4 MB

19. Rolling Statistics.mp4

66.6 MB

9. Discrete Compounding.mp4

65.7 MB

5. Price changes and Financial Returns.mp4

62.6 MB

27. Margin Trading and Levered Returns (Part 2).mp4

59.9 MB

24. Covariance and Correlation.mp4

55.1 MB

18. Resampling Smoothing of Financial Data.mp4

54.9 MB

3. Normalizing Time Series to a Base Value (100).mp4

49.6 MB

7. Investment Multiple and CAGR.mp4

49.4 MB

4. Coding Challenge #1.mp4

48.0 MB

21. Introduction to Currencies (Forex) and Trading.mp4

47.7 MB

13. Simple Returns vs Log Returns ( Part 2).mp4

44.2 MB

10. Continuous Compounding.mp4

42.9 MB

2. Initial Data Inspection and Visualization.mp4

40.7 MB

12. Simple Returns vs Log Returns ( Part 1).mp4

38.9 MB

6. Reward and Risk of Financial Instruments.mp4

34.3 MB

8. Compound Returns & Geometric Mean Return.mp4

33.7 MB

1. Introduction and Overview.mp4

32.8 MB

26. Margin Trading and Levered Returns (Part 1).mp4

32.2 MB

23. Short Selling and Short Position Returns (Part 3).mp4

32.2 MB

17. Annualizing Return and Risk.mp4

31.6 MB

22. Short Selling and Short Position Returns (Part 2).mp4

30.6 MB

25. Portfolios and Portfolio Returns.mp4

26.0 MB

15. Price Return vs. Total Return (Stocks).mp4

22.0 MB

20. Short Selling and Short Position Returns (Part 1).mp4

21.3 MB

11. Log Returns.mp4

16.1 MB

/.../9. Introduction to Interactive Brokers (IKBR) and API Trading/

18. Market Orders and Trades.mp4

92.8 MB

9. Trading Costs - Commissions.mp4

75.3 MB

16. Contracts (Advanced).mp4

65.6 MB

20. Historical Data (Bars).mp4

60.5 MB

5. The first Trades on TWS.mp4

56.4 MB

10. Trading Costs - other (hidden) Costs.mp4

56.1 MB

14. How to get Market Data.mp4

55.8 MB

17. Coding Challenge Get Contracts for all DJIA Constituents.mp4

51.2 MB

6. Trading Hours.mp4

49.0 MB

4. TWS - First Steps.mp4

42.1 MB

1. Welcome to IKBR.mp4

42.1 MB

19. Positions and Account Values.mp4

40.3 MB

13. Contracts (Introduction).mp4

39.2 MB

7. Cash Account vs. Margin Account.mp4

30.1 MB

2. How to create a Paper Trading Account.mp4

27.7 MB

11. How to download and install the API Wrapper & other Preparations.mp4

26.0 MB

3. How to Install the IB Trader Workstation (TWS).mp4

24.5 MB

12. Connecting to the API.mp4

23.2 MB

8. Fractional Trading.mp4

21.9 MB

15. Data Streaming for Mulitple Tickers.mp4

17.1 MB

/.../28. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/

50. Customization of Plots.mp4

88.2 MB

30. Slicing Rows and Columns with loc (label-based indexing).mp4

84.8 MB

13. Coding Exercise 7.mp4

81.2 MB

33. Analyzing Numerical Series with unique(), nunique() and value_counts().mp4

75.0 MB

55. Categorical Seaborn Plots.mp4

74.2 MB

27. Selecting Rows with iloc (position-based indexing).mp4

72.3 MB

56. Seaborn Regression Plots.mp4

69.7 MB

21. Create your very first Pandas DataFrame (from csv).mp4

69.5 MB

38. Changing Row Index with set_index() and reset_index().mp4

66.0 MB

46. Handling NA Values missing Values.mp4

62.8 MB

23. First Data Inspection.mp4

62.5 MB

49. Visualization with Matplotlib (Intro).mp4

62.0 MB

44. Advanced Filtering with between(), isin() and ~.mp4

57.1 MB

48. Summary Statistics and Accumulations.mp4

49.2 MB

41. Filtering DataFrames (one Condition).mp4

47.0 MB

31. Summary, Best Practices and Outlook.mp4

46.7 MB

22. Pandas Display Options and the methods head() & tail().mp4

45.0 MB

61. Splitting with many Keys.mp4

44.3 MB

62. split-apply-combine.mp4

42.0 MB

12. Creating Numpy Arrays from Scratch.mp4

41.9 MB

60. Understanding the GroupBy Object.mp4

41.3 MB

2. Numpy Arrays.mp4

40.0 MB

45. Intro to NA Values missing Values.mp4

40.0 MB

37. First Steps with Pandas Index Objects.mp4

38.9 MB

34. Analyzing non-numerical Series with unique(), nunique(), value_counts().mp4

37.9 MB

57. Seaborn Heatmaps.mp4

37.5 MB

1. Modules, Packages and Libraries - No need to reinvent the Wheel.mp4

35.7 MB

36. Sorting of Series and Introduction to the inplace - parameter.mp4

35.0 MB

16. How to slice 2-dim Numpy Arrays (Part 1).mp4

32.5 MB

10. Advanced Filtering & Bitwise Operators.mp4

31.7 MB

58. Removing Columns.mp4

31.1 MB

40. Renaming Index & Column Labels with rename().mp4

31.1 MB

53. Scatterplots.mp4

30.9 MB

52. Histogramms (Part 2).mp4

30.3 MB

24. Selecting Columns.mp4

29.7 MB

5. Changing Elements in Numpy Arrays & Mutability.mp4

27.4 MB

28. Slicing Rows and Columns with iloc (position-based indexing).mp4

27.2 MB

43. Filtering DataFrames by many Conditions (OR).mp4

27.1 MB

11. Determining a Project´s Payback Period with np.where().mp4

25.5 MB

19. How to perform row-wise and column-wise Operations.mp4

25.3 MB

7. Numpy Array Methods and Attributes.mp4

24.7 MB

29. Selecting Rows with loc (label-based indexing).mp4

23.8 MB

35. The copy() method.mp4

23.2 MB

42. Filtering DataFrames by many Conditions (AND).mp4

22.2 MB

51. Histogramms (Part 1).mp4

21.5 MB

6. View vs. copy - potential Pitfalls when slicing Numpy Arrays.mp4

21.4 MB

32. First Steps with Pandas Series.mp4

21.2 MB

4. Vectorized Operations with Numpy Arrays.mp4

20.9 MB

14. How to work with nested Lists.mp4

20.6 MB

9. Boolean Arrays and Conditional Filtering.mp4

20.3 MB

8. Numpy Universal Functions.mp4

20.0 MB

20. Intro to Tabular Data Pandas.mp4

19.9 MB

54. First Steps with Seaborn.mp4

19.1 MB

39. Changing Column Labels.mp4

18.8 MB

18. Recap Changing Elements in a Numpy Array slice.mp4

18.6 MB

15. 2-dimensional Numpy Arrays.mp4

18.0 MB

3. Indexing and Slicing Numpy Arrays.mp4

15.3 MB

47. Exporting DataFrames to csv.mp4

11.8 MB

26. Zero-based Indexing and Negative Indexing.mp4

11.0 MB

17. How to slice 2-dim Numpy Arrays (Part 2).mp4

9.9 MB

25. Selecting one Column with the dot notation.mp4

9.5 MB

59. Introduction to GroupBy Operations.mp4

9.0 MB

/.../30. Appendix 5 Object Oriented Programming (OOP)/

12. Inheritance.mp4

87.6 MB

1. Introduction to OOP and examples for Classes.mp4

71.2 MB

13. Inheritance and the super() Function.mp4

60.5 MB

14. Adding meaningful Docstrings.mp4

56.2 MB

11. Adding more methods and performance metrics.mp4

51.1 MB

5. The method get_data().mp4

48.2 MB

16. Coding Exercise Create your own Class.mp4

41.6 MB

4. The special method __init__().mp4

39.3 MB

8. The methods plot_prices() and plot_returns().mp4

38.3 MB

2. The Financial Analysis Class live in action (Part 1).mp4

30.6 MB

10. The method set_ticker().mp4

28.3 MB

9. Encapsulation and protected Attributes.mp4

27.0 MB

6. The method log_returns().mp4

25.9 MB

7. String representation and the special method __repr__().mp4

24.8 MB

15. Creating and Importing Python Modules (.py).mp4

23.2 MB

3. The Financial Analysis Class live in action (Part 2).mp4

22.2 MB

/.../17. Equity Portfolio Optimization and Analysis/

5. Portfolio Optimization.mp4

78.0 MB

2. Creating Random Portfolios (Part 1).mp4

56.6 MB

8. The Efficient Frontier.mp4

54.0 MB

4. Performance Measurement The Risk-adjusted Return.mp4

28.0 MB

9. Portfolio Optimization with frequent Rebalancing.mp4

27.1 MB

10. Comparison daily Rebalancing vs. no Rebalancing.mp4

25.7 MB

3. Creating Random Portfolios (Part 2).mp4

23.4 MB

6. Minimum Variance Portfolio.mp4

20.2 MB

1. Getting Started.mp4

18.8 MB

7. Maximum Return Portfolio.mp4

18.6 MB

/.../23. Stock trading with Technical Indicators - Backtesting/

3. Defining an SMA Crossover Strategy.mp4

75.3 MB

4. Vectorized Strategy Backtesting.mp4

62.0 MB

7. The Backtester Class.mp4

59.6 MB

5. Strategy Optimization.mp4

45.3 MB

6. Transaction & Trading Costs (Part 1).mp4

42.0 MB

2. A simple Buy and Hold Strategy.mp4

31.9 MB

1. Getting started.mp4

16.6 MB

8. Backtesting a Long-Only Strategy.mp4

15.1 MB

/.../15. ETF Investing and Index Replication Tracking/

3. The S&P500 Index and its ETFs - Full Replication.mp4

75.2 MB

7. Index Tracking with Optimization (Part 1).mp4

69.1 MB

5. The Russell 3000 Index and its ETFs - Representative Sampling.mp4

56.6 MB

8. Index Tracking with Optimization (Part 2).mp4

51.3 MB

6. ETF Investing with IBKR.mp4

49.0 MB

2. Index Replication Tracking - Intro.mp4

44.1 MB

10. Index Tracking with Optimization (Part 4).mp4

44.0 MB

1. Why ETF Investing.mp4

42.8 MB

12. Index Tracking with Optimization (Part 6).mp4

42.2 MB

13. Optimization and out-sample Testing (Part 1).mp4

38.8 MB

4. Active Return and Active Risk (Tracking Error).mp4

36.2 MB

11. Index Tracking with Optimization (Part 5).mp4

31.1 MB

14. Optimization and out-sample Testing (Part 2).mp4

30.1 MB

9. Index Tracking with Optimization (Part 3).mp4

23.1 MB

/.../29. Appendix 4 Advanced Pandas Time Series Topics/

2. Filling NA Values with bfill, ffill and interpolation.mp4

71.7 MB

4. Timezones and Converting (Part 2).mp4

40.5 MB

1. Helpful DatetimeIndex Attributes and Methods.mp4

39.2 MB

3. Timezones and Converting (Part 1).mp4

33.1 MB

/1. Getting started/

1. Did you know... (a Sneak Preview on Stock Investing).mp4

66.5 MB

2. How to get the best out of this course.mp4

39.3 MB

3. Course Overview.mp4

33.6 MB

/.../22. Technical Analysis with Python - Introduction/

3. Technical Analysis - Applications and Use Cases.mp4

64.7 MB

8. Bar Size Granularity.mp4

61.8 MB

1. Technical Analysis vs Fundamental Analysis.mp4

47.4 MB

6. How to customize Plotly Charts.mp4

37.0 MB

7. Candlestick and OHLC Bar Charts.mp4

36.7 MB

2. Technical Analysis and the Efficient Market Hypothesis.mp4

34.1 MB

12. Support and Resistance Lines.mp4

32.6 MB

10. Technical Indicators - Overview and Examples.mp4

27.0 MB

5. Charting - Interactive Line Charts with Cufflinks and Plotly.mp4

26.7 MB

11. Trend Lines.mp4

24.8 MB

9. Volume Charts.mp4

22.6 MB

4. Getting started and simple Price Charts.mp4

18.7 MB

/.../4. Installing Python and Jupyter Notebooks/

2. Download and Install Anaconda.mp4

63.8 MB

4. How to work with Jupyter Notebooks.mp4

56.0 MB

3. How to open Jupyter Notebooks.mp4

53.4 MB

5. Tips for python beginners.mp4

12.5 MB

1. Introduction.mp4

9.4 MB

/.../26. Appendix 1 Python (& Finance) Basics/

38. Coding Exercise 3.mp4

60.2 MB

12. Coding Exercise 1.mp4

51.8 MB

46. Coding Exercise 4.mp4

47.3 MB

41. Intro to Strings.mp4

45.6 MB

48. Keywords pass, continue and break.mp4

44.0 MB

47. Conditional Statements.mp4

43.4 MB

35. Adding and removing Elements fromto Lists.mp4

43.1 MB

22. Coding Exercise 2.mp4

42.6 MB

50. Introduction to while loops.mp4

39.7 MB

45. Comparison, Logical and Membership Operators in Action.mp4

39.7 MB

36. Mutable vs. immutable Objects (Part 1).mp4

38.2 MB

19. Calculate FV and PV for many Cashflows.mp4

37.6 MB

20. The Net Present Value - NPV (Theory).mp4

36.8 MB

40. Dictionaries.mp4

34.7 MB

17. For Loops - Iterating over Lists.mp4

33.6 MB

39. Tuples.mp4

33.3 MB

26. Build-in Functions.mp4

28.3 MB

30. More on Lists.mp4

27.5 MB

28. Floats.mp4

27.3 MB

23. Data Types in Action.mp4

27.3 MB

9. More on Variables and Memory.mp4

24.7 MB

49. Calculate a Project´s Payback Period.mp4

24.5 MB

37. Mutable vs. immutable Objects (Part 2).mp4

24.3 MB

29. How to round Floats (and Integers) with round().mp4

23.5 MB

32. Slicing Lists.mp4

22.6 MB

5. Calculate Interest Rates and Returns with Python.mp4

21.5 MB

6. Introduction to Variables.mp4

20.3 MB

31. Lists and Element-wise Operations.mp4

19.7 MB

42. String Replacement.mp4

19.5 MB

11. The print() Function.mp4

19.5 MB

18. The range Object - another Iterable.mp4

19.2 MB

10. Variables - Dos, Don´ts and Conventions.mp4

19.0 MB

1. Intro to the Time Value of Money (TVM) Concept (Theory).mp4

18.3 MB

21. Calculate an Investment Project´s NPV.mp4

16.1 MB

4. Interest Rates and Returns (Theory).mp4

15.7 MB

16. Indexing Lists.mp4

15.6 MB

34. Sorting and Reversing Lists.mp4

14.8 MB

2. Calculate Future Values (FV) with Python Compounding.mp4

14.3 MB

44. Operators (Theory).mp4

12.9 MB

7. Excursus How to add inline comments.mp4

12.6 MB

27. Integers.mp4

12.3 MB

24. The Data Type Hierarchy (Theory).mp4

11.9 MB

13. TVM Problems with many Cashflows.mp4

11.6 MB

33. Changing Elements in Lists.mp4

11.4 MB

3. Calculate Present Values (PV) with Python Discounting.mp4

11.2 MB

43. Booleans.mp4

9.9 MB

14. Intro to Python Lists.mp4

8.7 MB

15. Zero-based Indexing and negative Indexing in Python (Theory).mp4

8.2 MB

8. Variables and Memory (Theory).mp4

6.1 MB

25. Excursus Dynamic Typing in Python.mp4

5.8 MB

/.../8. Keystone Project - Loading Data and Stock Analysis/

5. Stock Analysis and Comparison.mp4

57.9 MB

2. How to load the Dow Jones Constituents from the Web.mp4

53.5 MB

7. Hot Topic How to load all exchange tickers (Indian Stock Market).mp4

44.1 MB

3. Historical Prices (Time-Series Data).mp4

42.7 MB

4. Cross-Sectional Data.mp4

33.4 MB

1. Project - Introduction.mp4

31.7 MB

6. Hot Topic How to get complete Lists with Stock Tickers.mp4

27.7 MB

/.../14. How to build and analyze a Stock Index/

1. Financial Indices - an Overview.mp4

54.5 MB

4. Building the Dow Jones Industrial Average Index from scratch.mp4

48.2 MB

8. Creating a Market Value-Weighted Stock Index with Python (Part 1).mp4

42.7 MB

7. Market Value-Weighted Index - Theory.mp4

38.0 MB

9. Creating a Market Value-Weighted Stock Index with Python (Part 2).mp4

35.7 MB

11. Comparison of weighting methods (Part 2).mp4

33.0 MB

3. Price-Weighted Index - Theory.mp4

31.4 MB

12. Price Index vs. PerformanceTotal Return Index.mp4

29.1 MB

5. Equal-Weighted Index - Theory.mp4

22.6 MB

2. Getting started.mp4

21.0 MB

10. Comparison of weighting methods (Part 1).mp4

13.1 MB

6. Creating an Equal-Weighted Stock Index with Python.mp4

12.8 MB

/.../18. Portfolio Optimization Theory and practical Pitfalls/

15. Introduction of a Risk-Free Asset.mp4

53.0 MB

13. Forward-looking Mean-Variance Optimization (MVO) Pitfalls (1).mp4

50.7 MB

7. Crash Course Statistics Covariance and Correlation (Part 1).mp4

44.2 MB

10. Correlation and the Portfolio Diversification Effect.mp4

42.2 MB

4. Portfolio Return (2-Asset-Case).mp4

38.4 MB

12. Forward-looking Optimization.mp4

36.8 MB

14. Forward-looking Mean-Variance Optimization (MVO) Pitfalls (2).mp4

36.1 MB

11. Multiple Asset Case.mp4

32.8 MB

9. Portfolio Risk (2-Asset-Case).mp4

31.5 MB

5. Portfolio Risk (2-Asset-Case) - a (too) simple solution.mp4

30.7 MB

17. Portfolio Optimization with Risk-free Asset (Part 1).mp4

24.1 MB

2. Getting Started.mp4

23.7 MB

19. Implications and the Two-Fund-Theorem.mp4

19.0 MB

18. Portfolio Optimization with Risk-free Asset (Part 2).mp4

17.8 MB

8. Crash Course Statistics Covariance and Correlation (Part 2).mp4

14.7 MB

16. The Sharpe Ratio Graphical Interpretation.mp4

12.4 MB

1. Introduction.mp4

10.1 MB

6. Crash Course Statistics Variance and Standard Deviation.mp4

9.7 MB

3. 2-Asset-Case (Intro).mp4

7.8 MB

/.../21. Trading Strategies - Overview/

2. How to create your own Trading Strategies.mp4

50.2 MB

1. Trading Strategies - Overview.mp4

32.0 MB

/.../13. PART 2 ETF Trading & Equity Portfolio Investing with Python and IBKR/

2. Investment Strategies, Indices, Portfolios & Benchmarks.mp4

48.3 MB

1. Introduction and Overview PART 2.mp4

14.1 MB

/.../27. Appendix 2 User-defined Functions/

2. What´s the difference between Positional Arguments vs. Keyword Arguments.mp4

40.7 MB

8. Scope - easily explained.mp4

39.6 MB

3. How to work with Default Arguments.mp4

31.9 MB

1. Defining your first user-defined Function.mp4

30.7 MB

4. The Default Argument None.mp4

30.0 MB

6. Sequences as arguments and args.mp4

29.5 MB

5. How to unpack Iterables.mp4

20.9 MB

7. How to return many results.mp4

15.0 MB

/.../19. Reverse Optimization and the Black-Litterman model/

1. Introduction and Motivation.mp4

36.2 MB

4. Black-Litterman Step 2 Incorporating Investor Opinions.mp4

35.1 MB

3. Black-Litterman Step 1 Reverse Optimization.mp4

28.8 MB

2. Getting started (Inputs for reverse Optimization).mp4

11.7 MB

/.../25. APPENDIX Python Crash Course/

1. Introduction and Overview.mp4

26.5 MB

/.../2. PART 1 Basics and Prerequisites/

1. Introduction and Overview PART 1.mp4

25.2 MB

/.../20. PART 3 Algorithmic Stock Trading with Python and IKBR/

1. Introduction and Overview PART 3.mp4

10.7 MB

 

Total files 663


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