0. Websites you may like/[CourseClub.Me].url
122B
0. Websites you may like/[FreeCourseSite.com].url
127B
0. Websites you may like/[GigaCourse.Com].url
49B
1. Getting Started/1. What is Algorithmic Trading Course Overview.mp4
38.27MB
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1. Getting Started/1. What is Algorithmic Trading Course Overview.srt
6.13KB
1. Getting Started/1.1 Overview.pdf
476.76KB
1. Getting Started/2. How to get the best out of this course.mp4
37.57MB
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1. Getting Started/2. How to get the best out of this course.srt
6.89KB
1. Getting Started/3. Did you know... (what Data can tell us about Day Trading).mp4
39.24MB
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1. Getting Started/3. Did you know... (what Data can tell us about Day Trading).srt
5.43KB
1. Getting Started/3.1 did_you_know.pdf
429.34KB
1. Getting Started/4. Test your knowledge.html
203B
1. Getting Started/5. Student FAQ.html
10.09KB
1. Getting Started/6. LEGAL DISCLAIMER (MUST READ!) .html
2.56KB
10. Introduction to Time Series Data in Pandas/1. Importing Time Series Data from csv-files.mp4
34.42MB
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10. Introduction to Time Series Data in Pandas/1. Importing Time Series Data from csv-files.srt
9.93KB
10. Introduction to Time Series Data in Pandas/2. Converting strings to datetime objects with pd.to_datetime().mp4
48.85MB
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10. Introduction to Time Series Data in Pandas/2. Converting strings to datetime objects with pd.to_datetime().srt
11.12KB
10. Introduction to Time Series Data in Pandas/3. Indexing and Slicing Time Series.mp4
40.63MB
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10. Introduction to Time Series Data in Pandas/3. Indexing and Slicing Time Series.srt
8.14KB
10. Introduction to Time Series Data in Pandas/4. Downsampling Time Series with resample().mp4
72.18MB
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10. Introduction to Time Series Data in Pandas/4. Downsampling Time Series with resample().srt
16.73KB
10. Introduction to Time Series Data in Pandas/5. Coding Exercise 1.mp4
35.91MB
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10. Introduction to Time Series Data in Pandas/5. Coding Exercise 1.srt
5.81KB
11. Financial Data Analysis with Pandas - an Introduction/1. Getting Ready (Installing required library).mp4
18.34MB
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11. Financial Data Analysis with Pandas - an Introduction/1. Getting Ready (Installing required library).srt
2.53KB
11. Financial Data Analysis with Pandas - an Introduction/10. Coding Exercise 2.html
158B
11. Financial Data Analysis with Pandas - an Introduction/11. Simple Returns vs. Log Returns.mp4
32.65MB
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11. Financial Data Analysis with Pandas - an Introduction/11. Simple Returns vs. Log Returns.srt
11.09KB
11. Financial Data Analysis with Pandas - an Introduction/12. Importing Financial Data from Excel.mp4
80.7MB
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11. Financial Data Analysis with Pandas - an Introduction/12. Importing Financial Data from Excel.srt
13.89KB
11. Financial Data Analysis with Pandas - an Introduction/13. Simple Moving Averages (SMA) with rolling().mp4
40.98MB
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11. Financial Data Analysis with Pandas - an Introduction/13. Simple Moving Averages (SMA) with rolling().srt
10.89KB
11. Financial Data Analysis with Pandas - an Introduction/14. Momentum Trading Strategies with SMAs.mp4
33.01MB
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11. Financial Data Analysis with Pandas - an Introduction/14. Momentum Trading Strategies with SMAs.srt
8.7KB
11. Financial Data Analysis with Pandas - an Introduction/15. Exponentially-weighted Moving Averages (EWMA).mp4
23.79MB
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11. Financial Data Analysis with Pandas - an Introduction/15. Exponentially-weighted Moving Averages (EWMA).srt
5.63KB
11. Financial Data Analysis with Pandas - an Introduction/16. Merging Aligning Financial Time Series (hands-on).mp4
25.9MB
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11. Financial Data Analysis with Pandas - an Introduction/16. Merging Aligning Financial Time Series (hands-on).srt
6.01KB
11. Financial Data Analysis with Pandas - an Introduction/2. Importing Stock Price Data from Yahoo Finance.mp4
58.5MB
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11. Financial Data Analysis with Pandas - an Introduction/2. Importing Stock Price Data from Yahoo Finance.srt
10.2KB
11. Financial Data Analysis with Pandas - an Introduction/3. Initial Inspection and Visualization.mp4
36.34MB
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11. Financial Data Analysis with Pandas - an Introduction/3. Initial Inspection and Visualization.srt
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14. +++ PART 3 Defining and Testing Trading Strategies +++/1. Introduction to Part 3.mp4
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10.02KB
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18. Trading Strategies powered by Machine Learning - Regression/1. Machine Learning - an Overview.mp4
42.53MB
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18. Trading Strategies powered by Machine Learning - Regression/1.1 ML.pdf
492.27KB
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20.18MB
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30.44MB
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18. Trading Strategies powered by Machine Learning - Regression/4. Overfitting.mp4
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9.5MB
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18. Trading Strategies powered by Machine Learning - Regression/7. A simple Linear Model to predict Financial Returns (Part 1).mp4
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18. Trading Strategies powered by Machine Learning - Regression/9. A Multiple Regression Model to predict Financial Returns.mp4
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19. Trading Strategies powered by Machine Learning - Classification/1. Logistic Regression with scikit-learn - a simple Introduction (Part 1).mp4
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19. Trading Strategies powered by Machine Learning - Classification/3. Getting and Preparing the Data.mp4
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19. Trading Strategies powered by Machine Learning - Classification/4. Predicting Market Direction with Logistic Regression.mp4
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3.85KB
19. Trading Strategies powered by Machine Learning - Classification/5. In-Sample Backtesting and the Look-ahead-bias.mp4
14.19MB
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2.88KB
19. Trading Strategies powered by Machine Learning - Classification/6. Out-Sample Forward Testing.mp4
20.11MB
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19. Trading Strategies powered by Machine Learning - Classification/7. Generalization with OOP A Classification Backtesting Class in action.mp4
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19. Trading Strategies powered by Machine Learning - Classification/8. The Classification Backtesting Class explained (Part 1).mp4
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19. Trading Strategies powered by Machine Learning - Classification/9. The Classification Backtesting Class explained (Part 2).srt
4.88KB
2. +++ PART 1 Day Trading, Online Brokers and APIs +++/1. Our very first Trade.mp4
13.9MB
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2. +++ PART 1 Day Trading, Online Brokers and APIs +++/1. Our very first Trade.srt
2.14KB
2. +++ PART 1 Day Trading, Online Brokers and APIs +++/2. Long Term Investing vs. (Algorithmic) Day Trading.mp4
30.9MB
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2. +++ PART 1 Day Trading, Online Brokers and APIs +++/2. Long Term Investing vs. (Algorithmic) Day Trading.srt
5.56KB
2. +++ PART 1 Day Trading, Online Brokers and APIs +++/2.1 Trading_vs_investing.pdf
529.76KB
2. +++ PART 1 Day Trading, Online Brokers and APIs +++/3. Spot Trading vs. Derivatives Trading (Part 1).mp4
57.79MB
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2. +++ PART 1 Day Trading, Online Brokers and APIs +++/3. Spot Trading vs. Derivatives Trading (Part 1).srt
10KB
2. +++ PART 1 Day Trading, Online Brokers and APIs +++/3.1 Spot_vs_Futures.pdf
253.73KB
2. +++ PART 1 Day Trading, Online Brokers and APIs +++/4. Spot Trading vs. Derivatives Trading (Part 2).mp4
67.47MB
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22. Implementation and Automation with OANDA (UPDATED!)/1. Updating the Wrapper Package (Part 1).html
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23. Implementation and Automation with FXCM (Updated!)/1. Weekend and Bank Holiday Alert.html
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24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/9. How to start Trading sessions with Batch (.bat) Files.mp4
31.63MB
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24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/9. How to start Trading sessions with Batch (.bat) Files.srt
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25. +++ PART 5 Expert Tips & Tricks, Case Studies and more +++/1. Overview.mp4
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2.21KB
25. +++ PART 5 Expert Tips & Tricks, Case Studies and more +++/2. Downloads for PART 5.html
123B
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3. Day Trading with OANDA A-Z a Deep Dive/15. Trading Challenge.html
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3. Day Trading with OANDA A-Z a Deep Dive/2. How to create an Account.srt
7.95KB
3. Day Trading with OANDA A-Z a Deep Dive/3. FOREX Currency Exchange Rates explained.mp4
59.54MB
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3. Day Trading with OANDA A-Z a Deep Dive/3. FOREX Currency Exchange Rates explained.srt
9.8KB
3. Day Trading with OANDA A-Z a Deep Dive/3.1 Currency.pdf
113.63KB
3. Day Trading with OANDA A-Z a Deep Dive/4. Our second Trade - EURUSD FOREX Trading.mp4
42.93MB
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3. Day Trading with OANDA A-Z a Deep Dive/4. Our second Trade - EURUSD FOREX Trading.srt
4.75KB
3. Day Trading with OANDA A-Z a Deep Dive/5. How to calculate Profit & Loss of a Trade.mp4
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7.43KB
3. Day Trading with OANDA A-Z a Deep Dive/5.1 Long_EUR.xlsx
40.06KB
3. Day Trading with OANDA A-Z a Deep Dive/6. Trading Costs and Performance Attribution.mp4
69.54MB
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12.5KB
3. Day Trading with OANDA A-Z a Deep Dive/6.1 spread.pdf
112.17KB
3. Day Trading with OANDA A-Z a Deep Dive/7. Margin and Leverage.mp4
70.56MB
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8.17KB
3. Day Trading with OANDA A-Z a Deep Dive/8. Margin Closeout and more.mp4
41.31MB
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8.2KB
3. Day Trading with OANDA A-Z a Deep Dive/9. Introduction to Charting.mp4
39.66MB
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5.71KB
3. Day Trading with OANDA A-Z a Deep Dive/9.1 Candlestick.pdf
92.6KB
30. +++ APPENDIX Python Crash Course +++/1. Overview.mp4
6.85MB
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30. +++ APPENDIX Python Crash Course +++/1. Overview.srt
1.82KB
31. Appendix 1 Python (& Finance) Basics/1. Section Downloads.html
124B
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18.91KB
31. Appendix 1 Python (& Finance) Basics/10. More on Variables and Memory.mp4
22.22MB
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31. Appendix 1 Python (& Finance) Basics/11. Variables - Dos, Don´ts and Conventions.mp4
17.06MB
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69.44KB
31. Appendix 1 Python (& Finance) Basics/12. The print() Function.mp4
17.42MB
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31. Appendix 1 Python (& Finance) Basics/13. Coding Exercise 1.mp4
46.77MB
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11.51KB
31. Appendix 1 Python (& Finance) Basics/14. TVM Problems with many Cashflows.mp4
10.47MB
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4.48KB
31. Appendix 1 Python (& Finance) Basics/14.1 FV_many.pdf
185.95KB
31. Appendix 1 Python (& Finance) Basics/15. Intro to Python Lists.mp4
7.77MB
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3.01KB
31. Appendix 1 Python (& Finance) Basics/16. Zero-based Indexing and negative Indexing in Python (Theory).mp4
7.44MB
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3.4KB
31. Appendix 1 Python (& Finance) Basics/16.1 Indexing.pdf
122.88KB
31. Appendix 1 Python (& Finance) Basics/17. Indexing Lists.mp4
13.87MB
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31. Appendix 1 Python (& Finance) Basics/17. Indexing Lists.srt
3.76KB
31. Appendix 1 Python (& Finance) Basics/18. For Loops - Iterating over Lists.mp4
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31. Appendix 1 Python (& Finance) Basics/19. The range Object - another Iterable.mp4
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31. Appendix 1 Python (& Finance) Basics/2. Intro to the Time Value of Money (TVM) Concept (Theory).mp4
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31. Appendix 1 Python (& Finance) Basics/2.1 TVM.pdf
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31. Appendix 1 Python (& Finance) Basics/20. Calculate FV and PV for many Cashflows.mp4
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31. Appendix 1 Python (& Finance) Basics/20.1 PV_FV_many.pdf
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31. Appendix 1 Python (& Finance) Basics/21. The Net Present Value - NPV (Theory).mp4
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31. Appendix 1 Python (& Finance) Basics/21.1 NPV.pdf
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31. Appendix 1 Python (& Finance) Basics/22. Calculate an Investment Project´s NPV.mp4
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31. Appendix 1 Python (& Finance) Basics/23. Coding Exercise 2.mp4
37.98MB
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10.02KB
31. Appendix 1 Python (& Finance) Basics/24. Data Types in Action.mp4
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31. Appendix 1 Python (& Finance) Basics/25. The Data Type Hierarchy (Theory).mp4
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31. Appendix 1 Python (& Finance) Basics/25.1 Type_Hierarchy.pdf
162.43KB
31. Appendix 1 Python (& Finance) Basics/26. Excursus Dynamic Typing in Python.mp4
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1.99KB
31. Appendix 1 Python (& Finance) Basics/27. Build-in Functions.mp4
25.39MB
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31. Appendix 1 Python (& Finance) Basics/27.1 Built_in_func.pdf
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31. Appendix 1 Python (& Finance) Basics/28. Integers.mp4
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31. Appendix 1 Python (& Finance) Basics/29. Floats.mp4
24.33MB
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31. Appendix 1 Python (& Finance) Basics/3. Calculate Future Values (FV) with Python Compounding.mp4
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31. Appendix 1 Python (& Finance) Basics/30. How to round Floats (and Integers) with round().mp4
20.91MB
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31. Appendix 1 Python (& Finance) Basics/31. More on Lists.mp4
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6.48KB
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142.98KB
32. Appendix 2 User-defined Functions (required for OOP)/1. Section Downloads.html
124B
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3.14KB
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156B
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32. Appendix 2 User-defined Functions (required for OOP)/8. How to return many results.mp4
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32. Appendix 2 User-defined Functions (required for OOP)/9. Scope - easily explained.mp4
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10.01KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/1. Downloads for this Section.html
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/1.1 Appendix3_Materials.zip
656.29KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/10. Boolean Arrays and Conditional Filtering.mp4
18.14MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/10. Boolean Arrays and Conditional Filtering.srt
5.62KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/11. Advanced Filtering & Bitwise Operators.mp4
28.18MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/11. Advanced Filtering & Bitwise Operators.srt
7.24KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/12. Determining a Project´s Payback Period with np.where().mp4
22.54MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/12. Determining a Project´s Payback Period with np.where().srt
5.89KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/13. Creating Numpy Arrays from Scratch.mp4
37.87MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/13. Creating Numpy Arrays from Scratch.srt
6.12KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/14. Coding Exercise 7.html
158B
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/15. How to work with nested Lists.mp4
18.24MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/15. How to work with nested Lists.srt
5.37KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/16. 2-dimensional Numpy Arrays.mp4
16.13MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/16. 2-dimensional Numpy Arrays.srt
4.63KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/17. How to slice 2-dim Numpy Arrays (Part 1).mp4
28.93MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/17. How to slice 2-dim Numpy Arrays (Part 1).srt
6.72KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/18. How to slice 2-dim Numpy Arrays (Part 2).mp4
8.75MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/18. How to slice 2-dim Numpy Arrays (Part 2).srt
2.43KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/19. Recap Changing Elements in a Numpy Array slice.mp4
16.51MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/19. Recap Changing Elements in a Numpy Array slice.srt
4.4KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/2. Modules, Packages and Libraries - No need to reinvent the Wheel.mp4
32.02MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/2. Modules, Packages and Libraries - No need to reinvent the Wheel.srt
9.01KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/20. How to perform row-wise and column-wise Operations.mp4
22.47MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/20. How to perform row-wise and column-wise Operations.srt
5.54KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/21. Coding Exercise 8.html
158B
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/22. Intro to Tabular Data Pandas.mp4
18.08MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/22. Intro to Tabular Data Pandas.srt
5.64KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/23. Create your very first Pandas DataFrame (from csv).mp4
62.52MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/23. Create your very first Pandas DataFrame (from csv).srt
10.37KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/24. Pandas Display Options and the methods head() & tail().mp4
40.48MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/24. Pandas Display Options and the methods head() & tail().srt
7.77KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/25. First Data Inspection.mp4
56.02MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/25. First Data Inspection.srt
14.46KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/26. Coding Exercise 9.html
159B
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/27. Selecting Columns.mp4
26.63MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/27. Selecting Columns.srt
6.54KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/28. Selecting one Column with the dot notation.mp4
8.55MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/28. Selecting one Column with the dot notation.srt
2.75KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/29. Zero-based Indexing and Negative Indexing.mp4
10.18MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/29. Zero-based Indexing and Negative Indexing.srt
3.97KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/3. Numpy Arrays.mp4
35.7MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/3. Numpy Arrays.srt
9.28KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/30. Selecting Rows with iloc (position-based indexing).mp4
65.01MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/30. Selecting Rows with iloc (position-based indexing).srt
11.52KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/31. Slicing Rows and Columns with iloc (position-based indexing).mp4
24.28MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/31. Slicing Rows and Columns with iloc (position-based indexing).srt
5.37KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/32. Position-based Indexing Cheat Sheets.html
440B
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/32.1 pandas_iloc.pdf
72KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/33. Selecting Rows with loc (label-based indexing).mp4
21.32MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/33. Selecting Rows with loc (label-based indexing).srt
3.87KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/34. Slicing Rows and Columns with loc (label-based indexing).mp4
77.57MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/34. Slicing Rows and Columns with loc (label-based indexing).srt
11.64KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/35. Label-based Indexing Cheat Sheets.html
701B
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/35.1 Pandas_loc.pdf
67.8KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/36. Summary, Best Practices and Outlook.mp4
42.02MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/36. Summary, Best Practices and Outlook.srt
7.7KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/37. Coding Exercise 10.html
159B
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/38. First Steps with Pandas Series.mp4
18.99MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/38. First Steps with Pandas Series.srt
4.98KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/39. Analyzing Numerical Series with unique(), nunique() and value_counts().mp4
67.14MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/39. Analyzing Numerical Series with unique(), nunique() and value_counts().srt
16.1KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/4. Indexing and Slicing Numpy Arrays.mp4
13.67MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/4. Indexing and Slicing Numpy Arrays.srt
3.24KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/40. Analyzing non-numerical Series with unique(), nunique(), value_counts().mp4
36.17MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/40. Analyzing non-numerical Series with unique(), nunique(), value_counts().srt
8.5KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/41. The copy() method.mp4
20.78MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/41. The copy() method.srt
5.27KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/42. Sorting of Series and Introduction to the inplace - parameter.mp4
33.42MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/42. Sorting of Series and Introduction to the inplace - parameter.srt
11.04KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/43. First Steps with Pandas Index Objects.mp4
37.14MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/43. First Steps with Pandas Index Objects.srt
6.83KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/44. Changing Row Index with set_index() and reset_index().mp4
63.07MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/44. Changing Row Index with set_index() and reset_index().srt
11.79KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/45. Changing Column Labels.mp4
17.97MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/45. Changing Column Labels.srt
4.03KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/46. Renaming Index & Column Labels with rename().mp4
27.99MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/46. Renaming Index & Column Labels with rename().srt
4.72KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/47. Filtering DataFrames (one Condition).mp4
44.85MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/47. Filtering DataFrames (one Condition).srt
12.78KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/48. Filtering DataFrames by many Conditions (AND).mp4
21.23MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/48. Filtering DataFrames by many Conditions (AND).srt
5.34KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/49. Filtering DataFrames by many Conditions (OR).mp4
25.79MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/49. Filtering DataFrames by many Conditions (OR).srt
5.7KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/5. Vectorized Operations with Numpy Arrays.mp4
18.73MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/5. Vectorized Operations with Numpy Arrays.srt
4.59KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/50. Advanced Filtering with between(), isin() and ~.mp4
54.43MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/50. Advanced Filtering with between(), isin() and ~.srt
8.98KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/51. Intro to NA Values missing Values.mp4
38.16MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/51. Intro to NA Values missing Values.srt
11.03KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/52. Handling NA Values missing Values.mp4
56.25MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/52. Handling NA Values missing Values.srt
12.95KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/53. Exporting DataFrames to csv.mp4
10.59MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/53. Exporting DataFrames to csv.srt
2.63KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/54. Summary Statistics and Accumulations.mp4
46.93MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/54. Summary Statistics and Accumulations.srt
11.74KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/55. Visualization with Matplotlib (Intro).mp4
59.12MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/55. Visualization with Matplotlib (Intro).srt
10.77KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/56. Customization of Plots.mp4
84.12MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/56. Customization of Plots.srt
14.45KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/57. Histogramms (Part 1).mp4
20.46MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/57. Histogramms (Part 1).srt
5.4KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/58. Histogramms (Part 2).mp4
28.85MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/58. Histogramms (Part 2).srt
7.99KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/59. Scatterplots.mp4
29.46MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/59. Scatterplots.srt
8.34KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/6. Changing Elements in Numpy Arrays & Mutability.mp4
24.52MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/6. Changing Elements in Numpy Arrays & Mutability.srt
6.65KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/6.1 Mutability_arrays.pdf
121.74KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/60. First Steps with Seaborn.mp4
18.25MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/61. Categorical Seaborn Plots.mp4
70.72MB
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16.75KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/62. Seaborn Regression Plots.mp4
66.52MB
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14.25KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/63. Seaborn Heatmaps.mp4
35.71MB
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10.32KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/64. Removing Columns.mp4
29.62MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/64. Removing Columns.srt
6.19KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/65. Introduction to GroupBy Operations.mp4
8.09MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/65. Introduction to GroupBy Operations.srt
2.69KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/66. Understanding the GroupBy Object.mp4
39.43MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/66. Understanding the GroupBy Object.srt
10.04KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/67. Splitting with many Keys.mp4
42.24MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/67. Splitting with many Keys.srt
8.3KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/68. split-apply-combine.mp4
40.1MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/68. split-apply-combine.srt
12.17KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/7. View vs. copy - potential Pitfalls when slicing Numpy Arrays.mp4
19.26MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/7. View vs. copy - potential Pitfalls when slicing Numpy Arrays.srt
5.78KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/7.1 Slicing_arrays.pdf
122.52KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/8. Numpy Array Methods and Attributes.mp4
21.98MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/8. Numpy Array Methods and Attributes.srt
6.27KB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/9. Numpy Universal Functions.mp4
17.77MB
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33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/9. Numpy Universal Functions.srt
4.76KB
34. What´s next (outlook and additional resources)/1. Bonus Lecture.html
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4. FOREX Day Trading with FXCM/1. FXCM at a first glance.mp4
67.52MB
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4. FOREX Day Trading with FXCM/1. FXCM at a first glance.srt
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4. FOREX Day Trading with FXCM/2. How to create an Account.mp4
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4. FOREX Day Trading with FXCM/2. How to create an Account.srt
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4. FOREX Day Trading with FXCM/3. Example Trade Buying EURUSD.mp4
24.42MB
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4. FOREX Day Trading with FXCM/3. Example Trade Buying EURUSD.srt
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4. FOREX Day Trading with FXCM/4. Trade Analysis.mp4
18.81MB
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26.34KB
4. FOREX Day Trading with FXCM/5. Charting.mp4
13.7MB
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4. FOREX Day Trading with FXCM/6. Closing Positions vs. Hedging Positions.mp4
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4. FOREX Day Trading with FXCM/7. Order Types at a glance.mp4
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6. Excursus How to avoid and debug Coding Errors (don´t skip!)/1. Introduction.mp4
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6. Excursus How to avoid and debug Coding Errors (don´t skip!)/2. Test your debugging skills!.mp4
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6. Excursus How to avoid and debug Coding Errors (don´t skip!)/2. Test your debugging skills!.srt
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7. Trading with Python and OANDAFXCM - an Introduction/4. OANDA How to install the OANDA API Wrapper.srt
3.65KB
7. Trading with Python and OANDAFXCM - an Introduction/5. OANDA Getting the API Key & other Preparations.mp4
31.49MB
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7. Trading with Python and OANDAFXCM - an Introduction/5. OANDA Getting the API Key & other Preparations.srt
5.74KB
7. Trading with Python and OANDAFXCM - an Introduction/5.1 Oanda_firststeps.zip
1.23KB
7. Trading with Python and OANDAFXCM - an Introduction/6. OANDA Connecting to the APIServer.mp4
48.32MB
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7. Trading with Python and OANDAFXCM - an Introduction/6. OANDA Connecting to the APIServer.srt
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7. Trading with Python and OANDAFXCM - an Introduction/7. OANDA How to load Historical Price Data (Part 1).mp4
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7. Trading with Python and OANDAFXCM - an Introduction/7. OANDA How to load Historical Price Data (Part 1).srt
8.3KB
7. Trading with Python and OANDAFXCM - an Introduction/8. OANDA How to load Historical Price Data (Part 2).mp4
33.46MB
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7. Trading with Python and OANDAFXCM - an Introduction/8. OANDA How to load Historical Price Data (Part 2).srt
4.03KB
7. Trading with Python and OANDAFXCM - an Introduction/9. OANDA Streaming high-frequency real-time Data.mp4
25.8MB
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7. Trading with Python and OANDAFXCM - an Introduction/9. OANDA Streaming high-frequency real-time Data.srt
4KB
8. Conclusion and Outlook/1. Conclusion and Outlook.mp4
3.95MB
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8. Conclusion and Outlook/1. Conclusion and Outlook.srt
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9. +++ PART 2 Pandas for Financial Data Analysis and Introduction to OOP +++/0. Websites you may like/[CourseClub.Me].url
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9. +++ PART 2 Pandas for Financial Data Analysis and Introduction to OOP +++/0. Websites you may like/[FreeCourseSite.com].url
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9. +++ PART 2 Pandas for Financial Data Analysis and Introduction to OOP +++/0. Websites you may like/[GigaCourse.Com].url
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9. +++ PART 2 Pandas for Financial Data Analysis and Introduction to OOP +++/1. Introduction and Downloads Part 2.mp4
17.93MB
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9. +++ PART 2 Pandas for Financial Data Analysis and Introduction to OOP +++/1. Introduction and Downloads Part 2.srt
3.32KB
9. +++ PART 2 Pandas for Financial Data Analysis and Introduction to OOP +++/1.1 Part2_Materials.zip
1.85MB