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Название Algorithmic Stock Trading and Equity Investing with Python
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1 1.87Мб
1. Asset Classes - Overview.mp4 72.86Мб
1. Defining your first user-defined Function.mp4 29.24Мб
1. Did you know... (a Sneak Preview on Stock Investing).mp4 63.41Мб
1. Financial Indices - an Overview.mp4 51.95Мб
1. Getting more Information on Stocks - the Ticker Object.mp4 37.11Мб
1. Getting started.mp4 15.88Мб
1. Getting Started.mp4 17.92Мб
1. Helpful DatetimeIndex Attributes and Methods.mp4 37.34Мб
1. Introduction.mp4 17.15Мб
1. Introduction.mp4 9.63Мб
1. Introduction.mp4 8.93Мб
1. Introduction and Motivation.mp4 34.49Мб
1. Introduction and Overview.mp4 31.23Мб
1. Introduction and Overview.mp4 25.25Мб
1. Introduction and Overview PART 1.mp4 24.06Мб
1. Introduction and Overview PART 2.mp4 13.48Мб
1. Introduction and Overview PART 3.mp4 10.22Мб
1. Introduction to OOP and examples for Classes.mp4 67.88Мб
1. Intro to the Time Value of Money (TVM) Concept (Theory).mp4 17.41Мб
1. Modules, Packages and Libraries - No need to reinvent the Wheel.mp4 34.03Мб
1. Project - Introduction.mp4 30.19Мб
1. Technical Analysis vs Fundamental Analysis.mp4 45.23Мб
1. Trading Strategies - Overview.mp4 30.51Мб
1. Welcome to IKBR.mp4 40.14Мб
1. Why ETF Investing.mp4 40.84Мб
1. Yahoo Finance - Overview.mp4 52.28Мб
10 1.37Мб
10. Advanced Filtering & Bitwise Operators.mp4 30.20Мб
10. Comparison daily Rebalancing vs. no Rebalancing.mp4 24.54Мб
10. Comparison of weighting methods (Part 1).mp4 12.52Мб
10. Continuous Compounding.mp4 40.87Мб
10. Correlation and the Portfolio Diversification Effect.mp4 40.28Мб
10. Getting help on StackOverflow.com.mp4 39.51Мб
10. Index Tracking with Optimization (Part 4).mp4 41.96Мб
10. Stock Splits.mp4 74.63Мб
10. Technical Indicators - Overview and Examples.mp4 25.71Мб
10. The method set_ticker().mp4 27.03Мб
10. Trading Costs - other (hidden) Costs.mp4 53.50Мб
10. Variables - Dos, Don´ts and Conventions.mp4 18.14Мб
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11. Adding more methods and performance metrics.mp4 48.77Мб
11. Comparison of weighting methods (Part 2).mp4 31.51Мб
11. Determining a Project´s Payback Period with np.where().mp4 24.31Мб
11. How to download and install the API Wrapper & other Preparations.mp4 24.80Мб
11. How to traceback more complex Errors.mp4 96.79Мб
11. Index Tracking with Optimization (Part 5).mp4 29.67Мб
11. Log Returns.mp4 15.33Мб
11. Multiple Asset Case.mp4 31.33Мб
11. Stocks from other Countries Exchanges.mp4 44.41Мб
11. The print() Function.mp4 18.55Мб
11. Trend Lines.mp4 23.64Мб
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12. Coding Exercise 1.mp4 49.39Мб
12. Connecting to the API.mp4 22.11Мб
12. Creating Numpy Arrays from Scratch.mp4 39.98Мб
12. Forward-looking Optimization.mp4 35.08Мб
12. Index Tracking with Optimization (Part 6).mp4 40.23Мб
12. Inheritance.mp4 83.55Мб
12. Multiple Tickers.mp4 49.21Мб
12. Price Index vs. PerformanceTotal Return Index.mp4 27.71Мб
12. Problems with the Python Installation.mp4 33.97Мб
12. Simple Returns vs Log Returns ( Part 1).mp4 37.12Мб
12. Support and Resistance Lines.mp4 31.12Мб
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13. Coding Exercise 7.mp4 77.40Мб
13. Contracts (Introduction).mp4 37.38Мб
13. External Factors and Issues.mp4 17.44Мб
13. Forward-looking Mean-Variance Optimization (MVO) Pitfalls (1).mp4 48.31Мб
13. Inheritance and the super() Function.mp4 57.68Мб
13. Optimization and out-sample Testing (Part 1).mp4 36.97Мб
13. Saving and Loading Data (Local Files).mp4 67.86Мб
13. Simple Returns vs Log Returns ( Part 2).mp4 42.16Мб
13. TVM Problems with many Cashflows.mp4 11.03Мб
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14. Adding meaningful Docstrings.mp4 53.62Мб
14. Coding Challenge.mp4 29.97Мб
14. Comparing the Performance of Financial Instruments.mp4 70.97Мб
14. Errors related to the course content (Transcription Errors).mp4 16.41Мб
14. Forward-looking Mean-Variance Optimization (MVO) Pitfalls (2).mp4 34.39Мб
14. How to get Market Data.mp4 53.19Мб
14. How to work with nested Lists.mp4 19.61Мб
14. Intro to Python Lists.mp4 8.29Мб
14. Optimization and out-sample Testing (Part 2).mp4 28.74Мб
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15. 2-dimensional Numpy Arrays.mp4 17.13Мб
15. Creating and Importing Python Modules (.py).mp4 22.15Мб
15. Data Streaming for Mulitple Tickers.mp4 16.34Мб
15. Introduction of a Risk-Free Asset.mp4 50.57Мб
15. Price Return vs. Total Return (Stocks).mp4 21.02Мб
15. Summary and Debugging Flow-Chart.mp4 26.35Мб
15. Zero-based Indexing and negative Indexing in Python (Theory).mp4 7.78Мб
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16. (Non-) Normality of Financial Returns.mp4 96.50Мб
16. Coding Exercise Create your own Class.mp4 39.63Мб
16. Contracts (Advanced).mp4 62.57Мб
16. How to slice 2-dim Numpy Arrays (Part 1).mp4 30.98Мб
16. Indexing Lists.mp4 14.90Мб
16. The Sharpe Ratio Graphical Interpretation.mp4 11.86Мб
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17. Annualizing Return and Risk.mp4 30.09Мб
17. Coding Challenge Get Contracts for all DJIA Constituents.mp4 48.80Мб
17. For Loops - Iterating over Lists.mp4 32.02Мб
17. How to slice 2-dim Numpy Arrays (Part 2).mp4 9.40Мб
17. Portfolio Optimization with Risk-free Asset (Part 1).mp4 23.00Мб
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18. Market Orders and Trades.mp4 88.54Мб
18. Portfolio Optimization with Risk-free Asset (Part 2).mp4 16.94Мб
18. Recap Changing Elements in a Numpy Array slice.mp4 17.70Мб
18. Resampling Smoothing of Financial Data.mp4 52.39Мб
18. The range Object - another Iterable.mp4 18.30Мб
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19. Calculate FV and PV for many Cashflows.mp4 35.83Мб
19. How to perform row-wise and column-wise Operations.mp4 24.13Мб
19. Implications and the Two-Fund-Theorem.mp4 18.11Мб
19. Positions and Account Values.mp4 38.45Мб
19. Rolling Statistics.mp4 63.52Мб
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2. A simple Buy and Hold Strategy.mp4 30.45Мб
2. Calculate Future Values (FV) with Python Compounding.mp4 13.66Мб
2. Creating Random Portfolios (Part 1).mp4 53.95Мб
2. Download and Install Anaconda.mp4 60.83Мб
2. Equities vs. Fixed Income.mp4 59.67Мб
2. Filling NA Values with bfill, ffill and interpolation.mp4 68.35Мб
2. Getting started.mp4 20.03Мб
2. Getting Started.mp4 22.63Мб
2. Getting started (Inputs for reverse Optimization).mp4 11.15Мб
2. How to create a Paper Trading Account.mp4 26.44Мб
2. How to create your own Trading Strategies.mp4 47.87Мб
2. How to get the best out of this course.mp4 37.49Мб
2. How to load the Dow Jones Constituents from the Web.mp4 51.05Мб
2. How to open and work with the Course Notebooks.mp4 24.15Мб
2. Index Replication Tracking - Intro.mp4 42.02Мб
2. Initial Data Inspection and Visualization.mp4 38.80Мб
2. Investment Strategies, Indices, Portfolios & Benchmarks.mp4 46.03Мб
2. Numpy Arrays.mp4 38.18Мб
2. Price, Shares Outstanding & Market Capitalization.mp4 39.33Мб
2. Technical Analysis and the Efficient Market Hypothesis.mp4 32.54Мб
2. Test your debugging skills!.mp4 58.56Мб
2. The Financial Analysis Class live in action (Part 1).mp4 29.18Мб
2. What´s the difference between Positional Arguments vs. Keyword Arguments.mp4 38.77Мб
20 1.09Мб
20. Historical Data (Bars).mp4 57.70Мб
20. Intro to Tabular Data Pandas.mp4 18.99Мб
20. Short Selling and Short Position Returns (Part 1).mp4 20.33Мб
20. The Net Present Value - NPV (Theory).mp4 35.09Мб
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21. Calculate an Investment Project´s NPV.mp4 15.35Мб
21. Create your very first Pandas DataFrame (from csv).mp4 66.25Мб
21. Introduction to Currencies (Forex) and Trading.mp4 45.53Мб
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22. Coding Exercise 2.mp4 40.66Мб
22. Pandas Display Options and the methods head() & tail().mp4 42.95Мб
22. Short Selling and Short Position Returns (Part 2).mp4 29.23Мб
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23. Data Types in Action.mp4 26.02Мб
23. First Data Inspection.mp4 59.57Мб
23. Short Selling and Short Position Returns (Part 3).mp4 30.68Мб
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24. Covariance and Correlation.mp4 52.54Мб
24. Selecting Columns.mp4 28.28Мб
24. The Data Type Hierarchy (Theory).mp4 11.39Мб
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25. Excursus Dynamic Typing in Python.mp4 5.51Мб
25. Portfolios and Portfolio Returns.mp4 24.82Мб
25. Selecting one Column with the dot notation.mp4 9.09Мб
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26. Build-in Functions.mp4 27.01Мб
26. Margin Trading and Levered Returns (Part 1).mp4 30.72Мб
26. Zero-based Indexing and Negative Indexing.mp4 10.52Мб
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27. Integers.mp4 11.74Мб
27. Margin Trading and Levered Returns (Part 2).mp4 57.16Мб
27. Selecting Rows with iloc (position-based indexing).mp4 68.91Мб
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28. Floats.mp4 26.07Мб
28. Slicing Rows and Columns with iloc (position-based indexing).mp4 25.99Мб
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29. How to round Floats (and Integers) with round().mp4 22.38Мб
29. Selecting Rows with loc (label-based indexing).mp4 22.73Мб
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3. 2-Asset-Case (Intro).mp4 7.46Мб
3. Black-Litterman Step 1 Reverse Optimization.mp4 27.47Мб
3. Calculate Present Values (PV) with Python Discounting.mp4 10.72Мб
3. Course Overview.mp4 32.08Мб
3. Creating Random Portfolios (Part 2).mp4 22.29Мб
3. Defining an SMA Crossover Strategy.mp4 71.83Мб
3. Equities - Categories and Sub Classes.mp4 49.22Мб
3. Historical Prices (Time-Series Data).mp4 40.68Мб
3. How to Install the IB Trader Workstation (TWS).mp4 23.38Мб
3. How to Install yfinance.mp4 12.11Мб
3. How to open Jupyter Notebooks.mp4 50.91Мб
3. How to work with Default Arguments.mp4 30.38Мб
3. Indexing and Slicing Numpy Arrays.mp4 14.62Мб
3. Major reasons for Coding Errors.mp4 5.39Мб
3. Normalizing Time Series to a Base Value (100).mp4 47.32Мб
3. Price vs. Value and Market Efficiency.mp4 67.28Мб
3. Price-Weighted Index - Theory.mp4 29.98Мб
3. Technical Analysis - Applications and Use Cases.mp4 61.69Мб
3. The Financial Analysis Class live in action (Part 2).mp4 21.20Мб
3. The S&P500 Index and its ETFs - Full Replication.mp4 71.72Мб
3. Timezones and Converting (Part 1).mp4 31.55Мб
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30. More on Lists.mp4 26.19Мб
30. Slicing Rows and Columns with loc (label-based indexing).mp4 80.85Мб
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31. Lists and Element-wise Operations.mp4 18.80Мб
31. Summary, Best Practices and Outlook.mp4 44.53Мб
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32. First Steps with Pandas Series.mp4 20.18Мб
32. Slicing Lists.mp4 21.53Мб
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33. Analyzing Numerical Series with unique(), nunique() and value_counts().mp4 71.54Мб
33. Changing Elements in Lists.mp4 10.85Мб
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34. Analyzing non-numerical Series with unique(), nunique(), value_counts().mp4 36.12Мб
34. Sorting and Reversing Lists.mp4 14.08Мб
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35. Adding and removing Elements fromto Lists.mp4 41.12Мб
35. The copy() method.mp4 22.13Мб
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36. Mutable vs. immutable Objects (Part 1).mp4 36.48Мб
36. Sorting of Series and Introduction to the inplace - parameter.mp4 33.42Мб
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37. First Steps with Pandas Index Objects.mp4 37.11Мб
37. Mutable vs. immutable Objects (Part 2).mp4 23.19Мб
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38. Changing Row Index with set_index() and reset_index().mp4 62.95Мб
38. Coding Exercise 3.mp4 57.45Мб
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39. Changing Column Labels.mp4 17.96Мб
39. Tuples.mp4 31.71Мб
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4. Active Return and Active Risk (Tracking Error).mp4 34.53Мб
4. Black-Litterman Step 2 Incorporating Investor Opinions.mp4 33.43Мб
4. Building the Dow Jones Industrial Average Index from scratch.mp4 45.92Мб
4. Coding Challenge #1.mp4 45.80Мб
4. Cross-Sectional Data.mp4 31.89Мб
4. Equity Value, Firm Value and Financial Distress.mp4 28.87Мб
4. Getting started and simple Price Charts.mp4 17.80Мб
4. How to work with Jupyter Notebooks.mp4 53.41Мб
4. Interest Rates and Returns (Theory).mp4 14.97Мб
4. Performance Measurement The Risk-adjusted Return.mp4 26.75Мб
4. Portfolio Return (2-Asset-Case).mp4 36.66Мб
4. The Default Argument None.mp4 28.57Мб
4. The most commonly made Errors at a glance.mp4 35.50Мб
4. The special method __init__().mp4 37.45Мб
4. Timezones and Converting (Part 2).mp4 38.64Мб
4. Top-Down vs. Bottom-Up.mp4 31.48Мб
4. TWS - First Steps.mp4 40.16Мб
4. Vectorized Operations with Numpy Arrays.mp4 19.96Мб
4. Vectorized Strategy Backtesting.mp4 59.10Мб
4. yfinance API - first steps.mp4 104.13Мб
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40. Dictionaries.mp4 33.08Мб
40. Renaming Index & Column Labels with rename().mp4 29.61Мб
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41. Filtering DataFrames (one Condition).mp4 44.85Мб
41. Intro to Strings.mp4 43.50Мб
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42. Filtering DataFrames by many Conditions (AND).mp4 21.21Мб
42. String Replacement.mp4 18.55Мб
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43. Booleans.mp4 9.49Мб
43. Filtering DataFrames by many Conditions (OR).mp4 25.84Мб
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44. Advanced Filtering with between(), isin() and ~.mp4 54.43Мб
44. Operators (Theory).mp4 12.29Мб
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45. Comparison, Logical and Membership Operators in Action.mp4 37.87Мб
45. Intro to NA Values missing Values.mp4 38.17Мб
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46. Coding Exercise 4.mp4 45.09Мб
46. Handling NA Values missing Values.mp4 59.91Мб
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47. Conditional Statements.mp4 41.35Мб
47. Exporting DataFrames to csv.mp4 11.28Мб
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48. Keywords pass, continue and break.mp4 41.97Мб
48. Summary Statistics and Accumulations.mp4 46.93Мб
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49. Calculate a Project´s Payback Period.mp4 23.40Мб
49. Visualization with Matplotlib (Intro).mp4 59.12Мб
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5. Calculate Interest Rates and Returns with Python.mp4 20.49Мб
5. Changing Elements in Numpy Arrays & Mutability.mp4 26.09Мб
5. Charting - Interactive Line Charts with Cufflinks and Plotly.mp4 25.43Мб
5. Equal-Weighted Index - Theory.mp4 21.55Мб
5. Excursus Versions and Package Updates.mp4 12.28Мб
5. How to unpack Iterables.mp4 19.93Мб
5. Investing vs. Trading.mp4 137.21Мб
5. Market Value vs. Book Value (Part 1).mp4 101.59Мб
5. Omitting cells, changing the sequence and more.mp4 49.98Мб
5. Portfolio Optimization.mp4 74.36Мб
5. Portfolio Risk (2-Asset-Case) - a (too) simple solution.mp4 29.27Мб
5. Price changes and Financial Returns.mp4 59.66Мб
5. Stock Analysis and Comparison.mp4 55.24Мб
5. Strategy Optimization.mp4 43.20Мб
5. The first Trades on TWS.mp4 53.79Мб
5. The method get_data().mp4 45.95Мб
5. The Russell 3000 Index and its ETFs - Representative Sampling.mp4 54.00Мб
5. Tips for python beginners.mp4 11.89Мб
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50. Customization of Plots.mp4 84.10Мб
50. Introduction to while loops.mp4 37.87Мб
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51. Histogramms (Part 1).mp4 20.47Мб
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52. Histogramms (Part 2).mp4 28.88Мб
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53. Scatterplots.mp4 29.46Мб
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54. First Steps with Seaborn.mp4 18.25Мб
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55. Categorical Seaborn Plots.mp4 70.79Мб
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56. Seaborn Regression Plots.mp4 66.49Мб
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57. Seaborn Heatmaps.mp4 35.72Мб
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58. Removing Columns.mp4 29.69Мб
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59. Introduction to GroupBy Operations.mp4 8.56Мб
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6. Analysis Period.mp4 53.43Мб
6. Crash Course Statistics Variance and Standard Deviation.mp4 9.28Мб
6. Creating an Equal-Weighted Stock Index with Python.mp4 12.17Мб
6. ETF Investing with IBKR.mp4 46.68Мб
6. Hot Topic How to get complete Lists with Stock Tickers.mp4 26.37Мб
6. How to customize Plotly Charts.mp4 35.33Мб
6. IndexErrors.mp4 31.05Мб
6. Introduction to Variables.mp4 19.41Мб
6. Market Value vs. Book Value (Part 2).mp4 61.14Мб
6. Minimum Variance Portfolio.mp4 19.24Мб
6. Reward and Risk of Financial Instruments.mp4 32.71Мб
6. Sequences as arguments and args.mp4 28.10Мб
6. The method log_returns().mp4 24.68Мб
6. Trading Hours.mp4 46.68Мб
6. Transaction & Trading Costs (Part 1).mp4 40.04Мб
6. View vs. copy - potential Pitfalls when slicing Numpy Arrays.mp4 20.42Мб
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60. Understanding the GroupBy Object.mp4 39.40Мб
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61. Splitting with many Keys.mp4 42.23Мб
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62. split-apply-combine.mp4 40.09Мб
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7. Candlestick and OHLC Bar Charts.mp4 35.00Мб
7. Cash Account vs. Margin Account.mp4 28.70Мб
7. Crash Course Statistics Covariance and Correlation (Part 1).mp4 42.13Мб
7. Data Frequency.mp4 55.97Мб
7. Excursus How to add inline comments.mp4 11.99Мб
7. Hot Topic How to load all exchange tickers (Indian Stock Market).mp4 42.08Мб
7. How to return many results.mp4 14.32Мб
7. Indentation Errors.mp4 12.23Мб
7. Index Tracking with Optimization (Part 1).mp4 65.87Мб
7. Investment Multiple and CAGR.mp4 47.11Мб
7. Liquidation Value.mp4 40.34Мб
7. Market Value-Weighted Index - Theory.mp4 36.22Мб
7. Maximum Return Portfolio.mp4 17.69Мб
7. Numpy Array Methods and Attributes.mp4 23.58Мб
7. String representation and the special method __repr__().mp4 23.64Мб
7. The Backtester Class.mp4 56.80Мб
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79 914.82Кб
8 1.15Мб
8. Backtesting a Long-Only Strategy.mp4 14.37Мб
8. Bar Size Granularity.mp4 58.95Мб
8. Compound Returns & Geometric Mean Return.mp4 32.14Мб
8. Crash Course Statistics Covariance and Correlation (Part 2).mp4 14.05Мб
8. Creating a Market Value-Weighted Stock Index with Python (Part 1).mp4 40.71Мб
8. Dividends.mp4 64.57Мб
8. Fractional Trading.mp4 20.87Мб
8. Index Tracking with Optimization (Part 2).mp4 48.92Мб
8. Market Value vs. Book Value (Part 3).mp4 44.03Мб
8. Misuse of function names and keywords.mp4 12.37Мб
8. Numpy Universal Functions.mp4 19.10Мб
8. Scope - easily explained.mp4 37.74Мб
8. The Efficient Frontier.mp4 51.48Мб
8. The methods plot_prices() and plot_returns().mp4 36.51Мб
8. Variables and Memory (Theory).mp4 5.78Мб
80 1.07Мб
81 1.32Мб
82 1.32Мб
83 1.97Мб
84 49.14Кб
85 82.20Кб
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9. Boolean Arrays and Conditional Filtering.mp4 19.31Мб
9. Creating a Market Value-Weighted Stock Index with Python (Part 2).mp4 34.09Мб
9. Discrete Compounding.mp4 62.62Мб
9. Encapsulation and protected Attributes.mp4 25.72Мб
9. How to load Financial Statements.mp4 43.80Мб
9. Index Tracking with Optimization (Part 3).mp4 21.99Мб
9. More on Variables and Memory.mp4 23.58Мб
9. Portfolio Optimization with frequent Rebalancing.mp4 25.85Мб
9. Portfolio Risk (2-Asset-Case).mp4 30.00Мб
9. Trading Costs - Commissions.mp4 71.78Мб
9. TypeErrors and ValueErrors.mp4 16.76Мб
9. Volume Charts.mp4 21.51Мб
9. What´s the Adjusted Close Price.mp4 73.55Мб
90 1.15Мб
91 1.47Мб
92 1.59Мб
93 1.97Мб
94 200.85Кб
95 516.90Кб
96 815.00Кб
97 1.05Мб
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99 1.84Мб
TutsNode.net.txt 63б