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Title Algorithmic Stock Trading and Equity Investing with Python
Category
Size 11.95GB

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[TGx]Downloaded from torrentgalaxy.to .txt 585B
0 806.75KB
1 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
10 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 18.14MB
100 1.87MB
101 1.92MB
102 1.98MB
103 35.29KB
104 43.05KB
105 660.85KB
106 905.95KB
107 1.13MB
108 1.16MB
109 1.29MB
11 1.64MB
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
110 1.32MB
111 1.34MB
112 1.66MB
113 1.72MB
114 1.77MB
115 1.84MB
116 1.86MB
117 1.91MB
118 1.96MB
119 19.96KB
12 458.90KB
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 31.12MB
120 374.80KB
121 505.16KB
122 614.48KB
123 682.27KB
124 1.20MB
125 1.23MB
126 1.36MB
127 1.55MB
128 1.82MB
129 1.83MB
13 1.14MB
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 11.03MB
130 128.66KB
131 136.03KB
132 263.59KB
133 525.47KB
134 563.39KB
135 639.01KB
136 676.57KB
137 896.86KB
138 906.62KB
139 907.81KB
14 177.91KB
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
140 1.03MB
141 1.34MB
142 1.49MB
143 1.52MB
144 1.78MB
145 1.88MB
146 174.13KB
147 281.79KB
148 508.23KB
149 683.45KB
15 229.12KB
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
150 928.20KB
151 941.14KB
152 1022.36KB
153 1.47MB
154 1.51MB
155 1.61MB
156 1.91MB
157 1.97MB
158 25.69KB
159 580.00KB
16 283.02KB
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
160 595.71KB
161 937.49KB
162 1.29MB
163 1.46MB
164 1.86MB
165 1.92MB
166 1.98MB
167 113.74KB
168 295.63KB
169 462.28KB
17 476.00KB
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
170 506.81KB
171 534.00KB
172 690.66KB
173 785.33KB
174 902.90KB
175 972.08KB
176 1.02MB
177 1.28MB
178 1.32MB
179 1.49MB
18 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
180 1.55MB
181 1.62MB
182 1.80MB
183 1.81MB
184 1.91MB
185 939B
186 15.52KB
187 31.65KB
188 315.04KB
189 333.74KB
19 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
190 397.58KB
191 548.52KB
192 745.48KB
193 776.74KB
194 793.43KB
195 837.61KB
196 1.12MB
197 1.13MB
198 1.26MB
199 1.30MB
2 415.93KB
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
20 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
200 1.43MB
201 1.72MB
202 1.90MB
203 299.91KB
204 547.41KB
205 997.86KB
206 1010.74KB
207 1.25MB
208 1.56MB
209 1.63MB
21 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
210 1.65MB
211 1.81MB
212 1.91MB
213 1.93MB
214 1.98MB
215 15.17KB
216 150.54KB
217 168.45KB
218 288.25KB
219 298.22KB
22 121.00KB
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
220 582.68KB
221 764.68KB
222 1.18MB
223 1.20MB
224 1.32MB
225 1.46MB
226 1.69MB
227 1.85MB
228 1.87MB
229 1.94MB
23 145.21KB
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
230 364.53KB
231 370.52KB
232 426.63KB
233 429.11KB
234 614.23KB
235 634.85KB
236 831.22KB
237 1021.93KB
238 1.27MB
239 1.37MB
24 738.43KB
24. Covariance and Correlation.mp4 52.54MB
24. Selecting Columns.mp4 28.28MB
24. The Data Type Hierarchy (Theory).mp4 11.39MB
240 1.62MB
241 1.71MB
242 1.85MB
243 1.87MB
244 1.89MB
245 11.93KB
246 459.75KB
247 478.77KB
248 503.34KB
249 807.01KB
25 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
250 818.63KB
251 1000.54KB
252 1.13MB
253 1.51MB
254 1.53MB
255 1.58MB
256 1.67MB
257 1.82MB
258 1.97MB
259 43.40KB
26 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
260 69.20KB
261 404.32KB
262 607.42KB
263 704.48KB
264 782.29KB
265 920.50KB
266 1.01MB
267 1.20MB
268 1.45MB
269 1.45MB
27 136.92KB
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
270 1.70MB
271 1.75MB
272 1.86MB
273 1.89MB
274 42.86KB
275 79.80KB
276 207.38KB
277 306.70KB
278 314.26KB
279 577.44KB
28 1.43MB
28. Floats.mp4 26.07MB
28. Slicing Rows and Columns with iloc (position-based indexing).mp4 25.99MB
280 602.23KB
281 872.08KB
282 894.12KB
283 1.06MB
284 1.24MB
285 1.59MB
286 1.66MB
287 127.06KB
288 666.71KB
289 688.51KB
29 486.64KB
29. How to round Floats (and Integers) with round().mp4 22.38MB
29. Selecting Rows with loc (label-based indexing).mp4 22.73MB
290 1.03MB
291 1.10MB
292 1.38MB
293 1.63MB
294 1.68MB
295 1.92MB
296 1.95MB
297 352.47KB
298 534.43KB
299 1.48MB
3 1.21MB
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
30 599.98KB
30. More on Lists.mp4 26.19MB
30. Slicing Rows and Columns with loc (label-based indexing).mp4 80.85MB
300 1.63MB
301 1.71MB
302 1.72MB
303 1.77MB
304 1.83MB
305 1.89MB
306 7.35KB
307 116.39KB
308 147.54KB
309 263.77KB
31 1.05MB
31. Lists and Element-wise Operations.mp4 18.80MB
31. Summary, Best Practices and Outlook.mp4 44.53MB
310 626.61KB
311 732.60KB
312 870.34KB
313 991.44KB
314 1.15MB
315 1.28MB
316 1.48MB
317 1.78MB
318 383.32KB
319 524.93KB
32 1.38MB
32. First Steps with Pandas Series.mp4 20.18MB
32. Slicing Lists.mp4 21.53MB
320 613.05KB
321 737.82KB
322 933.17KB
323 1.07MB
324 1.44MB
325 1.71MB
326 226.59KB
327 549.97KB
328 222.58KB
329 501.62KB
33 1.43MB
33. Analyzing Numerical Series with unique(), nunique() and value_counts().mp4 71.54MB
33. Changing Elements in Lists.mp4 10.85MB
34 312.84KB
34. Analyzing non-numerical Series with unique(), nunique(), value_counts().mp4 36.12MB
34. Sorting and Reversing Lists.mp4 14.08MB
35 882.03KB
35. Adding and removing Elements fromto Lists.mp4 41.12MB
35. The copy() method.mp4 22.13MB
36 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
37 95.39KB
37. First Steps with Pandas Index Objects.mp4 37.11MB
37. Mutable vs. immutable Objects (Part 2).mp4 23.19MB
38 334.40KB
38. Changing Row Index with set_index() and reset_index().mp4 62.95MB
38. Coding Exercise 3.mp4 57.45MB
39 345.91KB
39. Changing Column Labels.mp4 17.96MB
39. Tuples.mp4 31.71MB
4 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
40 444.24KB
40. Dictionaries.mp4 33.08MB
40. Renaming Index & Column Labels with rename().mp4 29.61MB
41 897.11KB
41. Filtering DataFrames (one Condition).mp4 44.85MB
41. Intro to Strings.mp4 43.50MB
42 920.58KB
42. Filtering DataFrames by many Conditions (AND).mp4 21.21MB
42. String Replacement.mp4 18.55MB
43 1.05MB
43. Booleans.mp4 9.49MB
43. Filtering DataFrames by many Conditions (OR).mp4 25.84MB
44 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
7 457.94KB
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
74 1.20MB
75 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
9 614.19KB
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
96 815.00KB
97 1.05MB
98 1.77MB
99 1.84MB
TutsNode.net.txt 63B