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1.87MB |
1. Asset Classes - Overview.mp4 |
72.86MB |
1. Defining your first user-defined Function.mp4 |
29.24MB |
1. Did you know... (a Sneak Preview on Stock Investing).mp4 |
63.41MB |
1. Financial Indices - an Overview.mp4 |
51.95MB |
1. Getting more Information on Stocks - the Ticker Object.mp4 |
37.11MB |
1. Getting started.mp4 |
15.88MB |
1. Getting Started.mp4 |
17.92MB |
1. Helpful DatetimeIndex Attributes and Methods.mp4 |
37.34MB |
1. Introduction.mp4 |
17.15MB |
1. Introduction.mp4 |
9.63MB |
1. Introduction.mp4 |
8.93MB |
1. Introduction and Motivation.mp4 |
34.49MB |
1. Introduction and Overview.mp4 |
31.23MB |
1. Introduction and Overview.mp4 |
25.25MB |
1. Introduction and Overview PART 1.mp4 |
24.06MB |
1. Introduction and Overview PART 2.mp4 |
13.48MB |
1. Introduction and Overview PART 3.mp4 |
10.22MB |
1. Introduction to OOP and examples for Classes.mp4 |
67.88MB |
1. Intro to the Time Value of Money (TVM) Concept (Theory).mp4 |
17.41MB |
1. Modules, Packages and Libraries - No need to reinvent the Wheel.mp4 |
34.03MB |
1. Project - Introduction.mp4 |
30.19MB |
1. Technical Analysis vs Fundamental Analysis.mp4 |
45.23MB |
1. Trading Strategies - Overview.mp4 |
30.51MB |
1. Welcome to IKBR.mp4 |
40.14MB |
1. Why ETF Investing.mp4 |
40.84MB |
1. Yahoo Finance - Overview.mp4 |
52.28MB |
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1.37MB |
10. Advanced Filtering & Bitwise Operators.mp4 |
30.20MB |
10. Comparison daily Rebalancing vs. no Rebalancing.mp4 |
24.54MB |
10. Comparison of weighting methods (Part 1).mp4 |
12.52MB |
10. Continuous Compounding.mp4 |
40.87MB |
10. Correlation and the Portfolio Diversification Effect.mp4 |
40.28MB |
10. Getting help on StackOverflow.com.mp4 |
39.51MB |
10. Index Tracking with Optimization (Part 4).mp4 |
41.96MB |
10. Stock Splits.mp4 |
74.63MB |
10. Technical Indicators - Overview and Examples.mp4 |
25.71MB |
10. The method set_ticker().mp4 |
27.03MB |
10. Trading Costs - other (hidden) Costs.mp4 |
53.50MB |
10. Variables - Dos, Don´ts and Conventions.mp4 |
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11. Adding more methods and performance metrics.mp4 |
48.77MB |
11. Comparison of weighting methods (Part 2).mp4 |
31.51MB |
11. Determining a Project´s Payback Period with np.where().mp4 |
24.31MB |
11. How to download and install the API Wrapper & other Preparations.mp4 |
24.80MB |
11. How to traceback more complex Errors.mp4 |
96.79MB |
11. Index Tracking with Optimization (Part 5).mp4 |
29.67MB |
11. Log Returns.mp4 |
15.33MB |
11. Multiple Asset Case.mp4 |
31.33MB |
11. Stocks from other Countries Exchanges.mp4 |
44.41MB |
11. The print() Function.mp4 |
18.55MB |
11. Trend Lines.mp4 |
23.64MB |
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12. Coding Exercise 1.mp4 |
49.39MB |
12. Connecting to the API.mp4 |
22.11MB |
12. Creating Numpy Arrays from Scratch.mp4 |
39.98MB |
12. Forward-looking Optimization.mp4 |
35.08MB |
12. Index Tracking with Optimization (Part 6).mp4 |
40.23MB |
12. Inheritance.mp4 |
83.55MB |
12. Multiple Tickers.mp4 |
49.21MB |
12. Price Index vs. PerformanceTotal Return Index.mp4 |
27.71MB |
12. Problems with the Python Installation.mp4 |
33.97MB |
12. Simple Returns vs Log Returns ( Part 1).mp4 |
37.12MB |
12. Support and Resistance Lines.mp4 |
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13. Coding Exercise 7.mp4 |
77.40MB |
13. Contracts (Introduction).mp4 |
37.38MB |
13. External Factors and Issues.mp4 |
17.44MB |
13. Forward-looking Mean-Variance Optimization (MVO) Pitfalls (1).mp4 |
48.31MB |
13. Inheritance and the super() Function.mp4 |
57.68MB |
13. Optimization and out-sample Testing (Part 1).mp4 |
36.97MB |
13. Saving and Loading Data (Local Files).mp4 |
67.86MB |
13. Simple Returns vs Log Returns ( Part 2).mp4 |
42.16MB |
13. TVM Problems with many Cashflows.mp4 |
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177.91KB |
14. Adding meaningful Docstrings.mp4 |
53.62MB |
14. Coding Challenge.mp4 |
29.97MB |
14. Comparing the Performance of Financial Instruments.mp4 |
70.97MB |
14. Errors related to the course content (Transcription Errors).mp4 |
16.41MB |
14. Forward-looking Mean-Variance Optimization (MVO) Pitfalls (2).mp4 |
34.39MB |
14. How to get Market Data.mp4 |
53.19MB |
14. How to work with nested Lists.mp4 |
19.61MB |
14. Intro to Python Lists.mp4 |
8.29MB |
14. Optimization and out-sample Testing (Part 2).mp4 |
28.74MB |
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229.12KB |
15. 2-dimensional Numpy Arrays.mp4 |
17.13MB |
15. Creating and Importing Python Modules (.py).mp4 |
22.15MB |
15. Data Streaming for Mulitple Tickers.mp4 |
16.34MB |
15. Introduction of a Risk-Free Asset.mp4 |
50.57MB |
15. Price Return vs. Total Return (Stocks).mp4 |
21.02MB |
15. Summary and Debugging Flow-Chart.mp4 |
26.35MB |
15. Zero-based Indexing and negative Indexing in Python (Theory).mp4 |
7.78MB |
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283.02KB |
16. (Non-) Normality of Financial Returns.mp4 |
96.50MB |
16. Coding Exercise Create your own Class.mp4 |
39.63MB |
16. Contracts (Advanced).mp4 |
62.57MB |
16. How to slice 2-dim Numpy Arrays (Part 1).mp4 |
30.98MB |
16. Indexing Lists.mp4 |
14.90MB |
16. The Sharpe Ratio Graphical Interpretation.mp4 |
11.86MB |
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17. Annualizing Return and Risk.mp4 |
30.09MB |
17. Coding Challenge Get Contracts for all DJIA Constituents.mp4 |
48.80MB |
17. For Loops - Iterating over Lists.mp4 |
32.02MB |
17. How to slice 2-dim Numpy Arrays (Part 2).mp4 |
9.40MB |
17. Portfolio Optimization with Risk-free Asset (Part 1).mp4 |
23.00MB |
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1.03MB |
18. Market Orders and Trades.mp4 |
88.54MB |
18. Portfolio Optimization with Risk-free Asset (Part 2).mp4 |
16.94MB |
18. Recap Changing Elements in a Numpy Array slice.mp4 |
17.70MB |
18. Resampling Smoothing of Financial Data.mp4 |
52.39MB |
18. The range Object - another Iterable.mp4 |
18.30MB |
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1.21MB |
19. Calculate FV and PV for many Cashflows.mp4 |
35.83MB |
19. How to perform row-wise and column-wise Operations.mp4 |
24.13MB |
19. Implications and the Two-Fund-Theorem.mp4 |
18.11MB |
19. Positions and Account Values.mp4 |
38.45MB |
19. Rolling Statistics.mp4 |
63.52MB |
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415.93KB |
2. A simple Buy and Hold Strategy.mp4 |
30.45MB |
2. Calculate Future Values (FV) with Python Compounding.mp4 |
13.66MB |
2. Creating Random Portfolios (Part 1).mp4 |
53.95MB |
2. Download and Install Anaconda.mp4 |
60.83MB |
2. Equities vs. Fixed Income.mp4 |
59.67MB |
2. Filling NA Values with bfill, ffill and interpolation.mp4 |
68.35MB |
2. Getting started.mp4 |
20.03MB |
2. Getting Started.mp4 |
22.63MB |
2. Getting started (Inputs for reverse Optimization).mp4 |
11.15MB |
2. How to create a Paper Trading Account.mp4 |
26.44MB |
2. How to create your own Trading Strategies.mp4 |
47.87MB |
2. How to get the best out of this course.mp4 |
37.49MB |
2. How to load the Dow Jones Constituents from the Web.mp4 |
51.05MB |
2. How to open and work with the Course Notebooks.mp4 |
24.15MB |
2. Index Replication Tracking - Intro.mp4 |
42.02MB |
2. Initial Data Inspection and Visualization.mp4 |
38.80MB |
2. Investment Strategies, Indices, Portfolios & Benchmarks.mp4 |
46.03MB |
2. Numpy Arrays.mp4 |
38.18MB |
2. Price, Shares Outstanding & Market Capitalization.mp4 |
39.33MB |
2. Technical Analysis and the Efficient Market Hypothesis.mp4 |
32.54MB |
2. Test your debugging skills!.mp4 |
58.56MB |
2. The Financial Analysis Class live in action (Part 1).mp4 |
29.18MB |
2. What´s the difference between Positional Arguments vs. Keyword Arguments.mp4 |
38.77MB |
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1.09MB |
20. Historical Data (Bars).mp4 |
57.70MB |
20. Intro to Tabular Data Pandas.mp4 |
18.99MB |
20. Short Selling and Short Position Returns (Part 1).mp4 |
20.33MB |
20. The Net Present Value - NPV (Theory).mp4 |
35.09MB |
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1.65MB |
21. Calculate an Investment Project´s NPV.mp4 |
15.35MB |
21. Create your very first Pandas DataFrame (from csv).mp4 |
66.25MB |
21. Introduction to Currencies (Forex) and Trading.mp4 |
45.53MB |
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121.00KB |
22. Coding Exercise 2.mp4 |
40.66MB |
22. Pandas Display Options and the methods head() & tail().mp4 |
42.95MB |
22. Short Selling and Short Position Returns (Part 2).mp4 |
29.23MB |
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145.21KB |
23. Data Types in Action.mp4 |
26.02MB |
23. First Data Inspection.mp4 |
59.57MB |
23. Short Selling and Short Position Returns (Part 3).mp4 |
30.68MB |
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738.43KB |
24. Covariance and Correlation.mp4 |
52.54MB |
24. Selecting Columns.mp4 |
28.28MB |
24. The Data Type Hierarchy (Theory).mp4 |
11.39MB |
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1.51MB |
25. Excursus Dynamic Typing in Python.mp4 |
5.51MB |
25. Portfolios and Portfolio Returns.mp4 |
24.82MB |
25. Selecting one Column with the dot notation.mp4 |
9.09MB |
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1.75MB |
26. Build-in Functions.mp4 |
27.01MB |
26. Margin Trading and Levered Returns (Part 1).mp4 |
30.72MB |
26. Zero-based Indexing and Negative Indexing.mp4 |
10.52MB |
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136.92KB |
27. Integers.mp4 |
11.74MB |
27. Margin Trading and Levered Returns (Part 2).mp4 |
57.16MB |
27. Selecting Rows with iloc (position-based indexing).mp4 |
68.91MB |
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28. Floats.mp4 |
26.07MB |
28. Slicing Rows and Columns with iloc (position-based indexing).mp4 |
25.99MB |
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486.64KB |
29. How to round Floats (and Integers) with round().mp4 |
22.38MB |
29. Selecting Rows with loc (label-based indexing).mp4 |
22.73MB |
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3. 2-Asset-Case (Intro).mp4 |
7.46MB |
3. Black-Litterman Step 1 Reverse Optimization.mp4 |
27.47MB |
3. Calculate Present Values (PV) with Python Discounting.mp4 |
10.72MB |
3. Course Overview.mp4 |
32.08MB |
3. Creating Random Portfolios (Part 2).mp4 |
22.29MB |
3. Defining an SMA Crossover Strategy.mp4 |
71.83MB |
3. Equities - Categories and Sub Classes.mp4 |
49.22MB |
3. Historical Prices (Time-Series Data).mp4 |
40.68MB |
3. How to Install the IB Trader Workstation (TWS).mp4 |
23.38MB |
3. How to Install yfinance.mp4 |
12.11MB |
3. How to open Jupyter Notebooks.mp4 |
50.91MB |
3. How to work with Default Arguments.mp4 |
30.38MB |
3. Indexing and Slicing Numpy Arrays.mp4 |
14.62MB |
3. Major reasons for Coding Errors.mp4 |
5.39MB |
3. Normalizing Time Series to a Base Value (100).mp4 |
47.32MB |
3. Price vs. Value and Market Efficiency.mp4 |
67.28MB |
3. Price-Weighted Index - Theory.mp4 |
29.98MB |
3. Technical Analysis - Applications and Use Cases.mp4 |
61.69MB |
3. The Financial Analysis Class live in action (Part 2).mp4 |
21.20MB |
3. The S&P500 Index and its ETFs - Full Replication.mp4 |
71.72MB |
3. Timezones and Converting (Part 1).mp4 |
31.55MB |
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599.98KB |
30. More on Lists.mp4 |
26.19MB |
30. Slicing Rows and Columns with loc (label-based indexing).mp4 |
80.85MB |
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1.05MB |
31. Lists and Element-wise Operations.mp4 |
18.80MB |
31. Summary, Best Practices and Outlook.mp4 |
44.53MB |
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1.38MB |
32. First Steps with Pandas Series.mp4 |
20.18MB |
32. Slicing Lists.mp4 |
21.53MB |
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1.43MB |
33. Analyzing Numerical Series with unique(), nunique() and value_counts().mp4 |
71.54MB |
33. Changing Elements in Lists.mp4 |
10.85MB |
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312.84KB |
34. Analyzing non-numerical Series with unique(), nunique(), value_counts().mp4 |
36.12MB |
34. Sorting and Reversing Lists.mp4 |
14.08MB |
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882.03KB |
35. Adding and removing Elements fromto Lists.mp4 |
41.12MB |
35. The copy() method.mp4 |
22.13MB |
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1.17MB |
36. Mutable vs. immutable Objects (Part 1).mp4 |
36.48MB |
36. Sorting of Series and Introduction to the inplace - parameter.mp4 |
33.42MB |
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95.39KB |
37. First Steps with Pandas Index Objects.mp4 |
37.11MB |
37. Mutable vs. immutable Objects (Part 2).mp4 |
23.19MB |
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334.40KB |
38. Changing Row Index with set_index() and reset_index().mp4 |
62.95MB |
38. Coding Exercise 3.mp4 |
57.45MB |
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345.91KB |
39. Changing Column Labels.mp4 |
17.96MB |
39. Tuples.mp4 |
31.71MB |
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1.50MB |
4. Active Return and Active Risk (Tracking Error).mp4 |
34.53MB |
4. Black-Litterman Step 2 Incorporating Investor Opinions.mp4 |
33.43MB |
4. Building the Dow Jones Industrial Average Index from scratch.mp4 |
45.92MB |
4. Coding Challenge #1.mp4 |
45.80MB |
4. Cross-Sectional Data.mp4 |
31.89MB |
4. Equity Value, Firm Value and Financial Distress.mp4 |
28.87MB |
4. Getting started and simple Price Charts.mp4 |
17.80MB |
4. How to work with Jupyter Notebooks.mp4 |
53.41MB |
4. Interest Rates and Returns (Theory).mp4 |
14.97MB |
4. Performance Measurement The Risk-adjusted Return.mp4 |
26.75MB |
4. Portfolio Return (2-Asset-Case).mp4 |
36.66MB |
4. The Default Argument None.mp4 |
28.57MB |
4. The most commonly made Errors at a glance.mp4 |
35.50MB |
4. The special method __init__().mp4 |
37.45MB |
4. Timezones and Converting (Part 2).mp4 |
38.64MB |
4. Top-Down vs. Bottom-Up.mp4 |
31.48MB |
4. TWS - First Steps.mp4 |
40.16MB |
4. Vectorized Operations with Numpy Arrays.mp4 |
19.96MB |
4. Vectorized Strategy Backtesting.mp4 |
59.10MB |
4. yfinance API - first steps.mp4 |
104.13MB |
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444.24KB |
40. Dictionaries.mp4 |
33.08MB |
40. Renaming Index & Column Labels with rename().mp4 |
29.61MB |
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897.11KB |
41. Filtering DataFrames (one Condition).mp4 |
44.85MB |
41. Intro to Strings.mp4 |
43.50MB |
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920.58KB |
42. Filtering DataFrames by many Conditions (AND).mp4 |
21.21MB |
42. String Replacement.mp4 |
18.55MB |
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1.05MB |
43. Booleans.mp4 |
9.49MB |
43. Filtering DataFrames by many Conditions (OR).mp4 |
25.84MB |
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1.44MB |
44. Advanced Filtering with between(), isin() and ~.mp4 |
54.43MB |
44. Operators (Theory).mp4 |
12.29MB |
45 |
309.00KB |
45. Comparison, Logical and Membership Operators in Action.mp4 |
37.87MB |
45. Intro to NA Values missing Values.mp4 |
38.17MB |
46 |
325.63KB |
46. Coding Exercise 4.mp4 |
45.09MB |
46. Handling NA Values missing Values.mp4 |
59.91MB |
47 |
561.62KB |
47. Conditional Statements.mp4 |
41.35MB |
47. Exporting DataFrames to csv.mp4 |
11.28MB |
48 |
855.90KB |
48. Keywords pass, continue and break.mp4 |
41.97MB |
48. Summary Statistics and Accumulations.mp4 |
46.93MB |
49 |
1.20MB |
49. Calculate a Project´s Payback Period.mp4 |
23.40MB |
49. Visualization with Matplotlib (Intro).mp4 |
59.12MB |
5 |
1.46MB |
5. Calculate Interest Rates and Returns with Python.mp4 |
20.49MB |
5. Changing Elements in Numpy Arrays & Mutability.mp4 |
26.09MB |
5. Charting - Interactive Line Charts with Cufflinks and Plotly.mp4 |
25.43MB |
5. Equal-Weighted Index - Theory.mp4 |
21.55MB |
5. Excursus Versions and Package Updates.mp4 |
12.28MB |
5. How to unpack Iterables.mp4 |
19.93MB |
5. Investing vs. Trading.mp4 |
137.21MB |
5. Market Value vs. Book Value (Part 1).mp4 |
101.59MB |
5. Omitting cells, changing the sequence and more.mp4 |
49.98MB |
5. Portfolio Optimization.mp4 |
74.36MB |
5. Portfolio Risk (2-Asset-Case) - a (too) simple solution.mp4 |
29.27MB |
5. Price changes and Financial Returns.mp4 |
59.66MB |
5. Stock Analysis and Comparison.mp4 |
55.24MB |
5. Strategy Optimization.mp4 |
43.20MB |
5. The first Trades on TWS.mp4 |
53.79MB |
5. The method get_data().mp4 |
45.95MB |
5. The Russell 3000 Index and its ETFs - Representative Sampling.mp4 |
54.00MB |
5. Tips for python beginners.mp4 |
11.89MB |
50 |
25.60KB |
50. Customization of Plots.mp4 |
84.10MB |
50. Introduction to while loops.mp4 |
37.87MB |
51 |
778.30KB |
51. Histogramms (Part 1).mp4 |
20.47MB |
52 |
1.57MB |
52. Histogramms (Part 2).mp4 |
28.88MB |
53 |
3.98KB |
53. Scatterplots.mp4 |
29.46MB |
54 |
50.53KB |
54. First Steps with Seaborn.mp4 |
18.25MB |
55 |
219.19KB |
55. Categorical Seaborn Plots.mp4 |
70.79MB |
56 |
392.07KB |
56. Seaborn Regression Plots.mp4 |
66.49MB |
57 |
512.88KB |
57. Seaborn Heatmaps.mp4 |
35.72MB |
58 |
586.98KB |
58. Removing Columns.mp4 |
29.69MB |
59 |
604.01KB |
59. Introduction to GroupBy Operations.mp4 |
8.56MB |
6 |
1.90MB |
6. Analysis Period.mp4 |
53.43MB |
6. Crash Course Statistics Variance and Standard Deviation.mp4 |
9.28MB |
6. Creating an Equal-Weighted Stock Index with Python.mp4 |
12.17MB |
6. ETF Investing with IBKR.mp4 |
46.68MB |
6. Hot Topic How to get complete Lists with Stock Tickers.mp4 |
26.37MB |
6. How to customize Plotly Charts.mp4 |
35.33MB |
6. IndexErrors.mp4 |
31.05MB |
6. Introduction to Variables.mp4 |
19.41MB |
6. Market Value vs. Book Value (Part 2).mp4 |
61.14MB |
6. Minimum Variance Portfolio.mp4 |
19.24MB |
6. Reward and Risk of Financial Instruments.mp4 |
32.71MB |
6. Sequences as arguments and args.mp4 |
28.10MB |
6. The method log_returns().mp4 |
24.68MB |
6. Trading Hours.mp4 |
46.68MB |
6. Transaction & Trading Costs (Part 1).mp4 |
40.04MB |
6. View vs. copy - potential Pitfalls when slicing Numpy Arrays.mp4 |
20.42MB |
60 |
827.99KB |
60. Understanding the GroupBy Object.mp4 |
39.40MB |
61 |
1.46MB |
61. Splitting with many Keys.mp4 |
42.23MB |
62 |
1.61MB |
62. split-apply-combine.mp4 |
40.09MB |
63 |
1.72MB |
64 |
47.83KB |
65 |
527.87KB |
66 |
972.83KB |
67 |
1.09MB |
68 |
1.43MB |
69 |
25.49KB |
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457.94KB |
7. Candlestick and OHLC Bar Charts.mp4 |
35.00MB |
7. Cash Account vs. Margin Account.mp4 |
28.70MB |
7. Crash Course Statistics Covariance and Correlation (Part 1).mp4 |
42.13MB |
7. Data Frequency.mp4 |
55.97MB |
7. Excursus How to add inline comments.mp4 |
11.99MB |
7. Hot Topic How to load all exchange tickers (Indian Stock Market).mp4 |
42.08MB |
7. How to return many results.mp4 |
14.32MB |
7. Indentation Errors.mp4 |
12.23MB |
7. Index Tracking with Optimization (Part 1).mp4 |
65.87MB |
7. Investment Multiple and CAGR.mp4 |
47.11MB |
7. Liquidation Value.mp4 |
40.34MB |
7. Market Value-Weighted Index - Theory.mp4 |
36.22MB |
7. Maximum Return Portfolio.mp4 |
17.69MB |
7. Numpy Array Methods and Attributes.mp4 |
23.58MB |
7. String representation and the special method __repr__().mp4 |
23.64MB |
7. The Backtester Class.mp4 |
56.80MB |
70 |
629.33KB |
71 |
798.58KB |
72 |
804.83KB |
73 |
1.08MB |
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1.20MB |
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1.23MB |
76 |
1.69MB |
77 |
137.33KB |
78 |
700.54KB |
79 |
914.82KB |
8 |
1.15MB |
8. Backtesting a Long-Only Strategy.mp4 |
14.37MB |
8. Bar Size Granularity.mp4 |
58.95MB |
8. Compound Returns & Geometric Mean Return.mp4 |
32.14MB |
8. Crash Course Statistics Covariance and Correlation (Part 2).mp4 |
14.05MB |
8. Creating a Market Value-Weighted Stock Index with Python (Part 1).mp4 |
40.71MB |
8. Dividends.mp4 |
64.57MB |
8. Fractional Trading.mp4 |
20.87MB |
8. Index Tracking with Optimization (Part 2).mp4 |
48.92MB |
8. Market Value vs. Book Value (Part 3).mp4 |
44.03MB |
8. Misuse of function names and keywords.mp4 |
12.37MB |
8. Numpy Universal Functions.mp4 |
19.10MB |
8. Scope - easily explained.mp4 |
37.74MB |
8. The Efficient Frontier.mp4 |
51.48MB |
8. The methods plot_prices() and plot_returns().mp4 |
36.51MB |
8. Variables and Memory (Theory).mp4 |
5.78MB |
80 |
1.07MB |
81 |
1.32MB |
82 |
1.32MB |
83 |
1.97MB |
84 |
49.14KB |
85 |
82.20KB |
86 |
200.83KB |
87 |
483.99KB |
88 |
792.67KB |
89 |
935.69KB |
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614.19KB |
9. Boolean Arrays and Conditional Filtering.mp4 |
19.31MB |
9. Creating a Market Value-Weighted Stock Index with Python (Part 2).mp4 |
34.09MB |
9. Discrete Compounding.mp4 |
62.62MB |
9. Encapsulation and protected Attributes.mp4 |
25.72MB |
9. How to load Financial Statements.mp4 |
43.80MB |
9. Index Tracking with Optimization (Part 3).mp4 |
21.99MB |
9. More on Variables and Memory.mp4 |
23.58MB |
9. Portfolio Optimization with frequent Rebalancing.mp4 |
25.85MB |
9. Portfolio Risk (2-Asset-Case).mp4 |
30.00MB |
9. Trading Costs - Commissions.mp4 |
71.78MB |
9. TypeErrors and ValueErrors.mp4 |
16.76MB |
9. Volume Charts.mp4 |
21.51MB |
9. What´s the Adjusted Close Price.mp4 |
73.55MB |
90 |
1.15MB |
91 |
1.47MB |
92 |
1.59MB |
93 |
1.97MB |
94 |
200.85KB |
95 |
516.90KB |
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815.00KB |
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1.05MB |
98 |
1.77MB |
99 |
1.84MB |
TutsNode.net.txt |
63B |