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| 1.1 Appendix1_Materials.zip |
18.91Кб |
| 1.1 Appendix2_Materials.zip |
3.14Кб |
| 1.1 Appendix3_Materials.zip |
656.29Кб |
| 1.1 cloud.pdf |
366.36Кб |
| 1.1 DNN.pdf |
431.06Кб |
| 1.1 Event_Driven_BT.pdf |
385.67Кб |
| 1.1 ML.pdf |
492.27Кб |
| 1.1 OOP.pdf |
479.50Кб |
| 1.1 Overview.pdf |
476.76Кб |
| 1.1 Part2_Materials.zip |
1.85Мб |
| 1. Bonus Lecture.html |
12.02Кб |
| 1. Conclusion and Outlook.mp4 |
3.95Мб |
| 1. Conclusion and Outlook.srt |
928б |
| 1. Downloads for this Section.html |
124б |
| 1. FXCM at a first glance.mp4 |
67.52Мб |
| 1. FXCM at a first glance.srt |
7.09Кб |
| 1. Getting Ready (Installing required library).mp4 |
18.34Мб |
| 1. Getting Ready (Installing required library).srt |
2.53Кб |
| 1. Helpful DatetimeIndex Attributes and Methods.mp4 |
37.38Мб |
| 1. Helpful DatetimeIndex Attributes and Methods.srt |
7.22Кб |
| 1. How to maximize your learning experience.html |
203б |
| 1. Importing Time Series Data from csv-files.mp4 |
34.42Мб |
| 1. Importing Time Series Data from csv-files.srt |
9.93Кб |
| 1. Introduction.mp4 |
11.47Мб |
| 1. Introduction.mp4 |
19.55Мб |
| 1. Introduction.mp4 |
8.91Мб |
| 1. Introduction.mp4 |
17.15Мб |
| 1. Introduction.srt |
2.55Кб |
| 1. Introduction.srt |
6.16Кб |
| 1. Introduction.srt |
2.08Кб |
| 1. Introduction.srt |
3.70Кб |
| 1. Introduction and Downloads Part 2.mp4 |
17.93Мб |
| 1. Introduction and Downloads Part 2.srt |
3.32Кб |
| 1. Introduction and Motivation.mp4 |
20.22Мб |
| 1. Introduction and Motivation.srt |
3.26Кб |
| 1. Introduction and Overview.mp4 |
10.78Мб |
| 1. Introduction and Overview.srt |
2.17Кб |
| 1. Introduction and Preparing the Data.mp4 |
36.83Мб |
| 1. Introduction and Preparing the Data.srt |
6.05Кб |
| 1. Introduction to Iterative Backtesting (event-driven).mp4 |
30.12Мб |
| 1. Introduction to Iterative Backtesting (event-driven).srt |
5.01Кб |
| 1. Introduction to OOP and examples for Classes.mp4 |
63.75Мб |
| 1. Introduction to OOP and examples for Classes.srt |
12.26Кб |
| 1. Introduction to Part 3.mp4 |
41.33Мб |
| 1. Introduction to Part 3.srt |
7.97Кб |
| 1. Logistic Regression with scikit-learn - a simple Introduction (Part 1).mp4 |
0б |
| 1. Logistic Regression with scikit-learn - a simple Introduction (Part 1).srt |
0б |
| 1. Machine Learning - an Overview.mp4 |
42.53Мб |
| 1. Machine Learning - an Overview.srt |
7.89Кб |
| 1. Mean-Reversion Strategies - Overview.mp4 |
51.41Мб |
| 1. Mean-Reversion Strategies - Overview.srt |
6.54Кб |
| 1. OANDA at a first glance.mp4 |
65.91Мб |
| 1. OANDA at a first glance.srt |
9.18Кб |
| 1. Our very first Trade.mp4 |
13.90Мб |
| 1. Our very first Trade.srt |
2.14Кб |
| 1. Overview.mp4 |
10.23Мб |
| 1. Overview.mp4 |
6.85Мб |
| 1. Overview.srt |
2.21Кб |
| 1. Overview.srt |
1.82Кб |
| 1. Project Overview.mp4 |
23.79Мб |
| 1. Project Overview.srt |
6.75Кб |
| 1. Section Downloads.html |
124б |
| 1. Section Downloads.html |
124б |
| 1. Simple ContrarianMomentum Strategies - Overview.mp4 |
19.97Мб |
| 1. Simple ContrarianMomentum Strategies - Overview.srt |
4.39Кб |
| 1. SMA Crossover Strategies - Overview.mp4 |
44.01Мб |
| 1. SMA Crossover Strategies - Overview.srt |
5.64Кб |
| 1. Updating the Wrapper Package (Part 1).html |
359б |
| 1. Weekend and Bank Holiday Alert.html |
381б |
| 1. What is Algorithmic Trading Course Overview.mp4 |
38.27Мб |
| 1. What is Algorithmic Trading Course Overview.srt |
6.13Кб |
| 10.1 Short_EUR.xlsx |
35.48Кб |
| 10. Boolean Arrays and Conditional Filtering.mp4 |
18.14Мб |
| 10. Boolean Arrays and Conditional Filtering.srt |
5.62Кб |
| 10. Coding Exercise 2.html |
158б |
| 10. Coding Exercise 6.html |
156б |
| 10. Creating an Iterative Base Class (Part 7).mp4 |
50.40Мб |
| 10. Creating an Iterative Base Class (Part 7).srt |
7.50Кб |
| 10. Creating the Class (Part 5).mp4 |
21.08Мб |
| 10. Creating the Class (Part 5).srt |
3.16Кб |
| 10. Getting help on StackOverflow.com.mp4 |
39.52Мб |
| 10. Getting help on StackOverflow.com.srt |
7.40Кб |
| 10. How to limit the number of retries.mp4 |
13.68Мб |
| 10. How to limit the number of retries.srt |
2.89Кб |
| 10. How to schedule Trading sessions with the Task Scheduler.mp4 |
39.23Мб |
| 10. How to schedule Trading sessions with the Task Scheduler.srt |
5.02Кб |
| 10. In-Sample Backtesting and the Look-ahead-bias.mp4 |
20.18Мб |
| 10. In-Sample Backtesting and the Look-ahead-bias.srt |
4.60Кб |
| 10. More on Variables and Memory.mp4 |
22.22Мб |
| 10. More on Variables and Memory.srt |
8.04Кб |
| 10. OANDA How to place Orders and execute Trades.mp4 |
85.46Мб |
| 10. OANDA How to place Orders and execute Trades.srt |
10.42Кб |
| 10. OOP Challenge Create the Contrarian Backtesting Class (incl. Solution).mp4 |
0б |
| 10. OOP Challenge Create the Contrarian Backtesting Class (incl. Solution).srt |
0б |
| 10. Our third Trade A-Z - Going Short EURUSD.mp4 |
61.88Мб |
| 10. Our third Trade A-Z - Going Short EURUSD.srt |
7.93Кб |
| 10. Prediction & Out-Sample Forward Testing.mp4 |
48.27Мб |
| 10. Prediction & Out-Sample Forward Testing.srt |
8.10Кб |
| 10. Storing and resampling real-time tick data (Part 4).mp4 |
64.12Мб |
| 10. Storing and resampling real-time tick data (Part 4).srt |
8.80Кб |
| 10. The method set_ticker().mp4 |
25.15Мб |
| 10. The method set_ticker().srt |
3.43Кб |
| 10. Working with historical data and real-time tick data (Part 1).mp4 |
34.52Мб |
| 10. Working with historical data and real-time tick data (Part 1).srt |
6.72Кб |
| 11.1 keywords.pdf |
69.44Кб |
| 11. Adding more methods and performance metrics.mp4 |
45.38Мб |
| 11. Adding more methods and performance metrics.srt |
6.49Кб |
| 11. Advanced Filtering & Bitwise Operators.mp4 |
28.18Мб |
| 11. Advanced Filtering & Bitwise Operators.srt |
7.24Кб |
| 11. Creating an Iterative Base Class (Part 8).mp4 |
56.36Мб |
| 11. Creating an Iterative Base Class (Part 8).srt |
6.97Кб |
| 11. Creating the Class (Part 6).mp4 |
36.35Мб |
| 11. Creating the Class (Part 6).srt |
5.40Кб |
| 11. How to stop Trading Sessions (OANDA).mp4 |
49.48Мб |
| 11. How to stop Trading Sessions (OANDA).srt |
7.08Кб |
| 11. How to traceback more complex Errors.mp4 |
96.84Мб |
| 11. How to traceback more complex Errors.srt |
11.48Кб |
| 11. Netting vs. Hedging.mp4 |
60.84Мб |
| 11. Netting vs. Hedging.srt |
7.50Кб |
| 11. Out-Sample Forward Testing.mp4 |
30.44Мб |
| 11. Out-Sample Forward Testing.srt |
4.90Кб |
| 11. Saving Model and Parameters.mp4 |
18.24Мб |
| 11. Saving Model and Parameters.srt |
3.05Кб |
| 11. Simple Returns vs. Log Returns.mp4 |
32.65Мб |
| 11. Simple Returns vs. Log Returns.srt |
11.09Кб |
| 11. Storing and resampling real-time tick data (Part 5).mp4 |
30.87Мб |
| 11. Storing and resampling real-time tick data (Part 5).srt |
4.44Кб |
| 11. Trading Challenge.html |
446б |
| 11. Variables - Dos, Don´ts and Conventions.mp4 |
17.06Мб |
| 11. Variables - Dos, Don´ts and Conventions.srt |
4.75Кб |
| 11. Waiting periods between re-tries.mp4 |
25.86Мб |
| 11. Waiting periods between re-tries.srt |
4.98Кб |
| 11. Working with historical data and real-time tick data (Part 2).mp4 |
49.57Мб |
| 11. Working with historical data and real-time tick data (Part 2).srt |
6.27Кб |
| 12. Adding the Iterative Backtest Child Class for SMA (Part 1).mp4 |
53.08Мб |
| 12. Adding the Iterative Backtest Child Class for SMA (Part 1).srt |
6.50Кб |
| 12. Creating the Class (Part 7).mp4 |
25.10Мб |
| 12. Creating the Class (Part 7).srt |
3.14Кб |
| 12. Determining a Project´s Payback Period with np.where().mp4 |
22.54Мб |
| 12. Determining a Project´s Payback Period with np.where().srt |
5.89Кб |
| 12. FXCM Commands to install required packages.html |
626б |
| 12. How to stop Trading Sessions (FXCM).mp4 |
45.87Мб |
| 12. How to stop Trading Sessions (FXCM).srt |
5.58Кб |
| 12. Implementation with Oanda V20 Connection Issues.mp4 |
36.15Мб |
| 12. Implementation with Oanda V20 Connection Issues.srt |
4.04Кб |
| 12. Important Notices.html |
822б |
| 12. Importing Financial Data from Excel.mp4 |
80.70Мб |
| 12. Importing Financial Data from Excel.srt |
13.89Кб |
| 12. Inheritance.mp4 |
78.88Мб |
| 12. Inheritance.srt |
9.35Кб |
| 12. Market, Limit and Stop Orders.mp4 |
39.27Мб |
| 12. Market, Limit and Stop Orders.srt |
6.07Кб |
| 12. Problems with the Python Installation.mp4 |
34.00Мб |
| 12. Problems with the Python Installation.srt |
7.41Кб |
| 12. The print() Function.mp4 |
17.42Мб |
| 12. The print() Function.srt |
5.14Кб |
| 12. Working with historical data and real-time tick data (Part 1).mp4 |
49.43Мб |
| 12. Working with historical data and real-time tick data (Part 1).srt |
9.23Кб |
| 12. Working with historical data and real-time tick data (Part 3).mp4 |
29.94Мб |
| 12. Working with historical data and real-time tick data (Part 3).srt |
3.98Кб |
| 13. Adding the Iterative Backtest Child Class for SMA (Part 2).mp4 |
78.37Мб |
| 13. Adding the Iterative Backtest Child Class for SMA (Part 2).srt |
9.92Кб |
| 13. Coding Exercise 1.mp4 |
46.77Мб |
| 13. Coding Exercise 1.srt |
11.51Кб |
| 13. Creating Numpy Arrays from Scratch.mp4 |
37.87Мб |
| 13. Creating Numpy Arrays from Scratch.srt |
6.12Кб |
| 13. Creating the Class (Part 8).mp4 |
32.75Мб |
| 13. Creating the Class (Part 8).srt |
5.14Кб |
| 13. Defining a Simple Contrarian Trading Strategy.mp4 |
42.25Мб |
| 13. Defining a Simple Contrarian Trading Strategy.srt |
5.48Кб |
| 13. External Factors and Issues.mp4 |
17.43Мб |
| 13. External Factors and Issues.srt |
5.22Кб |
| 13. FXCM How to install the FXCM API Wrapper.mp4 |
32.54Мб |
| 13. FXCM How to install the FXCM API Wrapper.srt |
3.52Кб |
| 13. Implementation (Oanda & FXCM).mp4 |
112.43Мб |
| 13. Implementation (Oanda & FXCM).srt |
13.51Кб |
| 13. Inheritance and the super() Function.mp4 |
53.87Мб |
| 13. Inheritance and the super() Function.srt |
7.12Кб |
| 13. Oanda Error Handling (Part 1).mp4 |
44.54Мб |
| 13. Oanda Error Handling (Part 1).srt |
6.92Кб |
| 13. Simple Moving Averages (SMA) with rolling().mp4 |
40.98Мб |
| 13. Simple Moving Averages (SMA) with rolling().srt |
10.89Кб |
| 13. Take-Profit and Stop-Loss Orders.mp4 |
24.44Мб |
| 13. Take-Profit and Stop-Loss Orders.srt |
3.93Кб |
| 13. Working with historical data and real-time tick data (Part 2).mp4 |
49.06Мб |
| 13. Working with historical data and real-time tick data (Part 2).srt |
7.19Кб |
| 14.1 FV_many.pdf |
185.95Кб |
| 14.1 FXCM_firststeps.zip |
1.48Кб |
| 14. Adding meaningful Docstrings.mp4 |
50.03Мб |
| 14. Adding meaningful Docstrings.srt |
7.38Кб |
| 14. A more general Example.mp4 |
30.79Мб |
| 14. A more general Example.srt |
4.73Кб |
| 14. Coding Exercise 7.html |
158б |
| 14. Errors related to the course content (Transcription Errors).mp4 |
16.40Мб |
| 14. Errors related to the course content (Transcription Errors).srt |
5.12Кб |
| 14. FXCM Getting the Access Token & other Preparations.mp4 |
21.07Мб |
| 14. FXCM Getting the Access Token & other Preparations.srt |
3.36Кб |
| 14. Momentum Trading Strategies with SMAs.mp4 |
33.01Мб |
| 14. Momentum Trading Strategies with SMAs.srt |
8.70Кб |
| 14. Oanda Error Handling (Part 2).mp4 |
64.14Мб |
| 14. Oanda Error Handling (Part 2).srt |
8.83Кб |
| 14. Placing Orders and Executing Trades.mp4 |
58.21Мб |
| 14. Placing Orders and Executing Trades.srt |
8.30Кб |
| 14. TVM Problems with many Cashflows.mp4 |
10.47Мб |
| 14. TVM Problems with many Cashflows.srt |
4.48Кб |
| 14. Using Modules and adding Docstrings.mp4 |
38.88Мб |
| 14. Using Modules and adding Docstrings.srt |
5.60Кб |
| 14. Working with historical data and real-time tick data (Part 3).mp4 |
30.04Мб |
| 14. Working with historical data and real-time tick data (Part 3).srt |
4.07Кб |
| 15. Creating and Importing Python Modules (.py).mp4 |
20.80Мб |
| 15. Creating and Importing Python Modules (.py).srt |
4.25Кб |
| 15. Defining a simple Contrarian Strategy.mp4 |
51.66Мб |
| 15. Defining a simple Contrarian Strategy.srt |
6.61Кб |
| 15. Exponentially-weighted Moving Averages (EWMA).mp4 |
23.79Мб |
| 15. Exponentially-weighted Moving Averages (EWMA).srt |
5.63Кб |
| 15. FXCM Connecting to the APIServer.mp4 |
42.81Мб |
| 15. FXCM Connecting to the APIServer.srt |
8.08Кб |
| 15. How to work with nested Lists.mp4 |
18.24Мб |
| 15. How to work with nested Lists.srt |
5.37Кб |
| 15. Intro to Python Lists.mp4 |
7.77Мб |
| 15. Intro to Python Lists.srt |
3.01Кб |
| 15. Oanda Error Handling (Part 3).mp4 |
34.55Мб |
| 15. Oanda Error Handling (Part 3).srt |
4.21Кб |
| 15. OOP Challenge Add Contrarian and Bollinger Strategies.mp4 |
65.82Мб |
| 15. OOP Challenge Add Contrarian and Bollinger Strategies.srt |
7.93Кб |
| 15. Summary and Debugging Flow-Chart.mp4 |
26.36Мб |
| 15. Summary and Debugging Flow-Chart.srt |
8.73Кб |
| 15. Trade Monitoring and Reporting.mp4 |
56.16Мб |
| 15. Trade Monitoring and Reporting.srt |
6.71Кб |
| 15. Trading Challenge.html |
569б |
| 16.1 Indexing.pdf |
122.88Кб |
| 16. 2-dimensional Numpy Arrays.mp4 |
16.13Мб |
| 16. 2-dimensional Numpy Arrays.srt |
4.63Кб |
| 16. Coding Exercise 3 Create your own Class.mp4 |
37.05Мб |
| 16. Coding Exercise 3 Create your own Class.srt |
8.12Кб |
| 16. Implementation with FXCM APIServer Issues.mp4 |
20.83Мб |
| 16. Implementation with FXCM APIServer Issues.srt |
2.78Кб |
| 16. Merging Aligning Financial Time Series (hands-on).mp4 |
25.90Мб |
| 16. Merging Aligning Financial Time Series (hands-on).srt |
6.01Кб |
| 16. Placing Orders and Executing Trades.mp4 |
57.49Мб |
| 16. Placing Orders and Executing Trades.srt |
6.69Кб |
| 16. Trading other Strategies - Coding Challenge.mp4 |
14.07Мб |
| 16. Trading other Strategies - Coding Challenge.srt |
2.19Кб |
| 16. Troubleshooting FXCM Server Connection Issues.html |
4.04Кб |
| 16. Zero-based Indexing and negative Indexing in Python (Theory).mp4 |
7.44Мб |
| 16. Zero-based Indexing and negative Indexing in Python (Theory).srt |
3.40Кб |
| 17. FXCM Error Handling (Part 1).mp4 |
41.84Мб |
| 17. FXCM Error Handling (Part 1).srt |
5.44Кб |
| 17. FXCM How to load Historical Price Data (Part 1).mp4 |
51.78Мб |
| 17. FXCM How to load Historical Price Data (Part 1).srt |
6.85Кб |
| 17. How to slice 2-dim Numpy Arrays (Part 1).mp4 |
28.93Мб |
| 17. How to slice 2-dim Numpy Arrays (Part 1).srt |
6.72Кб |
| 17. Indexing Lists.mp4 |
13.87Мб |
| 17. Indexing Lists.srt |
3.76Кб |
| 17. SMA Crossover and Bollinger Bands (Solution).mp4 |
41.79Мб |
| 17. SMA Crossover and Bollinger Bands (Solution).srt |
4.83Кб |
| 17. Trade Monitoring and Reporting.mp4 |
84.56Мб |
| 17. Trade Monitoring and Reporting.srt |
9.20Кб |
| 18. For Loops - Iterating over Lists.mp4 |
29.91Мб |
| 18. For Loops - Iterating over Lists.srt |
9.79Кб |
| 18. FXCM Error Handling (Part 2).mp4 |
38.16Мб |
| 18. FXCM Error Handling (Part 2).srt |
5.84Кб |
| 18. FXCM How to load Historical Price Data (Part 2).mp4 |
43.26Мб |
| 18. FXCM How to load Historical Price Data (Part 2).srt |
5.24Кб |
| 18. How to slice 2-dim Numpy Arrays (Part 2).mp4 |
8.75Мб |
| 18. How to slice 2-dim Numpy Arrays (Part 2).srt |
2.43Кб |
| 18. Machine Learning Strategies (1) - Model Fitting.mp4 |
33.86Мб |
| 18. Machine Learning Strategies (1) - Model Fitting.srt |
6.41Кб |
| 18. Trading other Strategies - Coding Challenge.mp4 |
12.56Мб |
| 18. Trading other Strategies - Coding Challenge.srt |
2.09Кб |
| 19. FXCM Streaming high-frequency real-time Data.mp4 |
47.68Мб |
| 19. FXCM Streaming high-frequency real-time Data.srt |
7.20Кб |
| 19. Implementing an SMA Crossover Strategy (Solution).mp4 |
37.04Мб |
| 19. Implementing an SMA Crossover Strategy (Solution).srt |
4.25Кб |
| 19. Machine Learning Strategies (2) - Implementation.mp4 |
53.91Мб |
| 19. Machine Learning Strategies (2) - Implementation.srt |
6.14Кб |
| 19. Recap Changing Elements in a Numpy Array slice.mp4 |
16.51Мб |
| 19. Recap Changing Elements in a Numpy Array slice.srt |
4.40Кб |
| 19. The range Object - another Iterable.mp4 |
17.08Мб |
| 19. The range Object - another Iterable.srt |
5.97Кб |
| 2.1 Part4_Materials.zip |
736.39Кб |
| 2.1 Part5_Materials.zip |
1.76Мб |
| 2.1 strategy_overview.pdf |
401.07Кб |
| 2.1 Trading_vs_investing.pdf |
529.76Кб |
| 2.1 TVM.pdf |
195.76Кб |
| 2. A first Intuition on Iterative Backtesting (Part 1).mp4 |
34.82Мб |
| 2. A first Intuition on Iterative Backtesting (Part 1).srt |
6.78Кб |
| 2. Converting strings to datetime objects with pd.to_datetime().mp4 |
48.85Мб |
| 2. Converting strings to datetime objects with pd.to_datetime().srt |
11.12Кб |
| 2. Defining an SMA Crossover Strategy.mp4 |
43.69Мб |
| 2. Defining an SMA Crossover Strategy.srt |
7.70Кб |
| 2. Defining your first user-defined Function.mp4 |
27.36Мб |
| 2. Defining your first user-defined Function.srt |
7.33Кб |
| 2. Demonstration AWS EC2 for Algorithmic Trading live in action.mp4 |
0б |
| 2. Demonstration AWS EC2 for Algorithmic Trading live in action.srt |
0б |
| 2. Download and Install Anaconda.mp4 |
60.88Мб |
| 2. Download and Install Anaconda.srt |
9.04Кб |
| 2. Downloads for Part 4.html |
123б |
| 2. Downloads for PART 5.html |
123б |
| 2. Filling NA Values with bfill, ffill and interpolation.mp4 |
68.43Мб |
| 2. Filling NA Values with bfill, ffill and interpolation.srt |
11.98Кб |
| 2. Getting the Data.mp4 |
15.39Мб |
| 2. Getting the Data.mp4 |
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| 2. Getting the Data.srt |
2.88Кб |
| 2. Getting the Data.srt |
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| 2. Historical Data, real-time Data and Orders (Recap).mp4 |
65.82Мб |
| 2. Historical Data, real-time Data and Orders (Recap).srt |
10.42Кб |
| 2. How to create an Account.mp4 |
48.28Мб |
| 2. How to create an Account.mp4 |
53.89Мб |
| 2. How to create an Account.srt |
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| 2. How to create an Account.srt |
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| 2. How to get the best out of this course.mp4 |
37.57Мб |
| 2. How to get the best out of this course.srt |
6.89Кб |
| 2. Importing Stock Price Data from Yahoo Finance.mp4 |
58.50Мб |
| 2. Importing Stock Price Data from Yahoo Finance.srt |
10.20Кб |
| 2. Installation of Tensorflow & Keras (Part 1).html |
555б |
| 2. Intro to the Time Value of Money (TVM) Concept (Theory).mp4 |
16.49Мб |
| 2. Intro to the Time Value of Money (TVM) Concept (Theory).srt |
7.50Кб |
| 2. Linear Regression with scikit-learn - a simple Introduction.mp4 |
48.30Мб |
| 2. Linear Regression with scikit-learn - a simple Introduction.srt |
9.18Кб |
| 2. Logistic Regression with scikit-learn - a simple Introduction (Part 2).mp4 |
0б |
| 2. Logistic Regression with scikit-learn - a simple Introduction (Part 2).srt |
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| 2. Long Term Investing vs. (Algorithmic) Day Trading.mp4 |
30.90Мб |
| 2. Long Term Investing vs. (Algorithmic) Day Trading.srt |
5.56Кб |
| 2. Modules, Packages and Libraries - No need to reinvent the Wheel.mp4 |
32.02Мб |
| 2. Modules, Packages and Libraries - No need to reinvent the Wheel.srt |
9.01Кб |
| 2. Overview.mp4 |
4.52Мб |
| 2. Overview.srt |
1.33Кб |
| 2. Section Materials Notebooks.html |
122б |
| 2. Strategy 1 SMA.mp4 |
13.27Мб |
| 2. Strategy 1 SMA.srt |
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| 2. Test your debugging skills!.mp4 |
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| 2. Test your debugging skills!.srt |
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| 2. The best time to trade (Part 1).mp4 |
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| 2. The best time to trade (Part 1).srt |
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| 2. The Financial Analysis Class live in action (Part 1).mp4 |
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| 2. The Financial Analysis Class live in action (Part 1).srt |
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| 2. Trading Strategies - an Overview.mp4 |
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| 2. Trading Strategies - an Overview.srt |
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| 2. Updating the Wrapper Package (Part 2).mp4 |
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| 2. Updating the Wrapper Package (Part 2).srt |
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| 20.1 PV_FV_many.pdf |
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| 20. Calculate FV and PV for many Cashflows.mp4 |
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| 20. Calculate FV and PV for many Cashflows.srt |
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| 20. Excursus Printing all ticks in a Command PromptTerminal.html |
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| 20. FXCM How to place Orders and execute Trades.mp4 |
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| 20. FXCM How to place Orders and execute Trades.srt |
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| 20. How to perform row-wise and column-wise Operations.mp4 |
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| 20. How to perform row-wise and column-wise Operations.srt |
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| 20. Implementing a Bollinger Bands Strategy (Solution).mp4 |
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| 20. Implementing a Bollinger Bands Strategy (Solution).srt |
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| 21.1 NPV.pdf |
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| 21. Coding Exercise 8.html |
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| 21. Machine Learning Strategies (1) - Model Fitting.mp4 |
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| 21. Machine Learning Strategies (1) - Model Fitting.srt |
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| 21. Running a Python Script.mp4 |
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| 21. Running a Python Script.srt |
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| 21. The Net Present Value - NPV (Theory).mp4 |
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| 21. The Net Present Value - NPV (Theory).srt |
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| 21. Trading Challenge.html |
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| 22. Calculate an Investment Project´s NPV.mp4 |
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| 22. Calculate an Investment Project´s NPV.srt |
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| 22. Intro to Tabular Data Pandas.mp4 |
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| 22. Machine Learning Strategies (2) - Implementation.mp4 |
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| 23. Coding Exercise 2.mp4 |
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| 23. Create your very first Pandas DataFrame (from csv).mp4 |
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| 23. Importing a Trader Module Class.mp4 |
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| 24. Data Types in Action.mp4 |
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| 24. Data Types in Action.srt |
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| 24. Excursus Printing all ticks in a Command PromptTerminal.html |
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| 24. Pandas Display Options and the methods head() & tail().mp4 |
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| 24. Pandas Display Options and the methods head() & tail().srt |
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| 25.1 Type_Hierarchy.pdf |
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| 25. First Data Inspection.mp4 |
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| 25. First Data Inspection.srt |
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| 25. Running a Python Trader Script.mp4 |
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| 25. The Data Type Hierarchy (Theory).mp4 |
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| 26. Coding Exercise 9.html |
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| 26. Excursus Dynamic Typing in Python.mp4 |
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| 27.1 Built_in_func.pdf |
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| 27. Build-in Functions.mp4 |
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| 27. Build-in Functions.srt |
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| 27. Selecting Columns.mp4 |
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| 28. Integers.mp4 |
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| 28. Selecting one Column with the dot notation.mp4 |
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| 29. Floats.mp4 |
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| 29. Zero-based Indexing and Negative Indexing.mp4 |
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| 3.1 Currency.pdf |
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| 3.1 did_you_know.pdf |
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| 3.1 Part3_Materials.zip |
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| 3.1 Spot_vs_Futures.pdf |
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| 3. A first Intuition on Iterative Backtesting (Part 2).mp4 |
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| 3. A first Intuition on Iterative Backtesting (Part 2).srt |
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| 3. Amazon Web Services (AWS) - Overview and how to create a Free Trial Account.mp4 |
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| 3. Calculate Future Values (FV) with Python Compounding.mp4 |
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| 3. Defining a Bollinger Bands Mean-Reversion Strategy (Part 1).mp4 |
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| 3. Defining a Bollinger Bands Mean-Reversion Strategy (Part 1).srt |
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| 3. Did you know... (what Data can tell us about Day Trading).mp4 |
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| 3. Did you know... (what Data can tell us about Day Trading).srt |
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| 3. Downloads for Part 3.html |
123б |
| 3. Example Trade Buying EURUSD.mp4 |
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| 3. Example Trade Buying EURUSD.srt |
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| 3. Excursus Your FAQs answered.mp4 |
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| 3. FOREX Currency Exchange Rates explained.mp4 |
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| 3. Getting and Preparing the Data.mp4 |
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| 3. How to open Jupyter Notebooks.mp4 |
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| 3. Indexing and Slicing Time Series.mp4 |
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| 3. Initial Inspection and Visualization.mp4 |
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| 3. Installation of Tensorflow & Keras (Part 2).mp4 |
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| 3. Major reasons for Coding Errors.mp4 |
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| 3. Making Predictions with Linear Regression.mp4 |
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| 3. Numpy Arrays.mp4 |
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| 3. OANDA Commands to install required packages.html |
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| 3. Python Errors (Exceptions).mp4 |
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| 3. Spot Trading vs. Derivatives Trading (Part 1).mp4 |
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| 3. Strategy 2 Mean Reversion.mp4 |
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| 3. The best time to trade (Part 2).mp4 |
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| 3. The Financial Analysis Class live in action (Part 2).mp4 |
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| 3. Timezones and Converting (Part 1).mp4 |
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| 3. Troubleshooting FXCM Server Connection Issues.html |
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| 3. Vectorized Strategy Backtesting.mp4 |
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| 3. Vectorized Strategy Backtesting.srt |
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| 3. Weekend and Bank Holiday Alert.html |
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| 3. What´s the difference between Positional Arguments vs. Keyword Arguments.mp4 |
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| 3. What´s the difference between Positional Arguments vs. Keyword Arguments.srt |
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| 30. How to round Floats (and Integers) with round().mp4 |
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| 30. How to round Floats (and Integers) with round().srt |
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| 30. Selecting Rows with iloc (position-based indexing).mp4 |
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| 30. Selecting Rows with iloc (position-based indexing).srt |
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| 31. More on Lists.mp4 |
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| 31. Slicing Rows and Columns with iloc (position-based indexing).mp4 |
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| 31. Slicing Rows and Columns with iloc (position-based indexing).srt |
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| 32.1 pandas_iloc.pdf |
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| 32. Lists and Element-wise Operations.mp4 |
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| 32. Lists and Element-wise Operations.srt |
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| 32. Position-based Indexing Cheat Sheets.html |
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| 33. Selecting Rows with loc (label-based indexing).mp4 |
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| 33. Slicing Lists.mp4 |
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| 33. Slicing Lists.srt |
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| 34.1 Slicing_cheatsheet.pdf |
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| 34. Slicing Cheat Sheet.html |
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| 34. Slicing Rows and Columns with loc (label-based indexing).mp4 |
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| 35.1 Pandas_loc.pdf |
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| 35. Changing Elements in Lists.mp4 |
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| 35. Changing Elements in Lists.srt |
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| 35. Label-based Indexing Cheat Sheets.html |
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| 36. Sorting and Reversing Lists.mp4 |
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| 36. Sorting and Reversing Lists.srt |
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| 36. Summary, Best Practices and Outlook.mp4 |
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| 36. Summary, Best Practices and Outlook.srt |
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| 37. Adding and removing Elements fromto Lists.mp4 |
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| 37. Adding and removing Elements fromto Lists.srt |
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| 37. Coding Exercise 10.html |
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| 38. First Steps with Pandas Series.mp4 |
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| 38. First Steps with Pandas Series.srt |
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| 38. Mutable vs. immutable Objects (Part 1).mp4 |
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| 38. Mutable vs. immutable Objects (Part 1).srt |
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| 39.1 Python_for_Finance_Mutability.pdf |
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| 39. Analyzing Numerical Series with unique(), nunique() and value_counts().mp4 |
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| 39. Analyzing Numerical Series with unique(), nunique() and value_counts().srt |
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| 39. Mutable vs. immutable Objects (Part 2).mp4 |
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| 39. Mutable vs. immutable Objects (Part 2).srt |
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| 4.1 Long_EUR_fxcm.xlsx |
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| 4. Calculate Present Values (FV) with Python Discounting.mp4 |
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| 4. Calculate Present Values (FV) with Python Discounting.srt |
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| 4. Combining both Strategies - Alternative 1.mp4 |
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| 4. Creating an Iterative Base Class (Part 1).mp4 |
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| 4. Defining a Bollinger Bands Mean-Reversion Strategy (Part 2).mp4 |
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| 4. Defining a Bollinger Bands Mean-Reversion Strategy (Part 2).srt |
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| 4. Defining a simple Contrarian Strategy.mp4 |
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| 4. Defining a simple Contrarian Strategy.srt |
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| 4. Downsampling Time Series with resample().mp4 |
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| 4. Downsampling Time Series with resample().srt |
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| 4. Finding the optimal SMA Strategy.mp4 |
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| 4. Finding the optimal SMA Strategy.srt |
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| 4. Getting and Preparing the Data.mp4 |
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| 4. Getting the Data.mp4 |
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| 4. Historical Data, real-time Data and Orders (Recap).mp4 |
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| 4. How to create an EC2 Instance.mp4 |
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| 4. How to work with Default Arguments.mp4 |
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| 4. How to work with Jupyter Notebooks.mp4 |
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| 4. Indexing and Slicing Numpy Arrays.mp4 |
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| 4. Normalizing Time Series to a Base Value (100).mp4 |
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| 4. OANDA How to install the OANDA API Wrapper.mp4 |
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| 4. OANDA How to install the OANDA API Wrapper.srt |
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| 4. Our second Trade - EURUSD FOREX Trading.mp4 |
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| 4. Overfitting.mp4 |
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| 4. Predicting Market Direction with Logistic Regression.mp4 |
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| 4. Preview A Trader Class live in action.mp4 |
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| 4. Spot Trading vs. Derivatives Trading (Part 2).mp4 |
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| 4. Spreads during the busy hours.mp4 |
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| 4. Test your knowledge.html |
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| 4. The most commonly made Errors at a glance.mp4 |
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| 4. The special method __init__().mp4 |
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| 4. Timezones and Converting (Part 2).mp4 |
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| 4. Trade Analysis.mp4 |
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| 4. try and except.mp4 |
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| 40. Analyzing non-numerical Series with unique(), nunique(), value_counts().mp4 |
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| 40. Coding Exercise 3.mp4 |
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| 40. Coding Exercise 3.srt |
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| 41. The copy() method.mp4 |
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| 41. The copy() method.srt |
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| 41. Tuples.mp4 |
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| 42. Dictionaries.mp4 |
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| 42. Dictionaries.srt |
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| 42. Sorting of Series and Introduction to the inplace - parameter.mp4 |
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| 42. Sorting of Series and Introduction to the inplace - parameter.srt |
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| 43. First Steps with Pandas Index Objects.mp4 |
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| 43. Intro to Strings.mp4 |
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| 43. Intro to Strings.srt |
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| 44. Changing Row Index with set_index() and reset_index().mp4 |
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| 44. String Replacement.mp4 |
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| 45. Booleans.mp4 |
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| 45. Changing Column Labels.mp4 |
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| 46.1 Operators.pdf |
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| 46. Operators (Theory).mp4 |
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| 46. Operators (Theory).srt |
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| 46. Renaming Index & Column Labels with rename().mp4 |
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| 46. Renaming Index & Column Labels with rename().srt |
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| 47. Comparison, Logical and Membership Operators in Action.mp4 |
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| 47. Comparison, Logical and Membership Operators in Action.srt |
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| 47. Filtering DataFrames (one Condition).mp4 |
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| 47. Filtering DataFrames (one Condition).srt |
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| 48. Coding Exercise 4.mp4 |
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| 48. Coding Exercise 4.srt |
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| 48. Filtering DataFrames by many Conditions (AND).mp4 |
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| 48. Filtering DataFrames by many Conditions (AND).srt |
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| 49. Conditional Statements.mp4 |
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| 49. Conditional Statements.srt |
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| 49. Filtering DataFrames by many Conditions (OR).mp4 |
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| 5.1 Brokers.pdf |
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| 5.1 Interest_Rates.pdf |
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| 5.1 Long_EUR.xlsx |
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| 5.1 Oanda_firststeps.zip |
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| 5. Adding LabelsFeatures.mp4 |
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| 5. Adding LabelsFeatures.srt |
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| 5. A simple Buy and Hold Strategy.mp4 |
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| 5. A simple Buy and Hold Strategy.srt |
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| 5. Catching specific Errors.mp4 |
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| 5. Charting.mp4 |
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| 5. Coding Exercise 1.mp4 |
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| 5. Collecting and storing real-time tick data.mp4 |
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| 5. Creating an Iterative Base Class (Part 2).mp4 |
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| 5. Generalization with OOP An SMA Backtesting Class in action.mp4 |
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| 5. Generalization with OOP An SMA Backtesting Class in action.srt |
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| 5. How to calculate Profit & Loss of a Trade.mp4 |
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| 5. How to calculate Profit & Loss of a Trade.srt |
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| 5. How to connect to your EC2 Instance.mp4 |
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| 5. In-Sample Backtesting and the Look-ahead-bias.mp4 |
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| 5. In-Sample Backtesting and the Look-ahead-bias.srt |
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| 5. Interest Rates and Returns (Theory).mp4 |
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| 5. OANDA Getting the API Key & other Preparations.mp4 |
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| 5. Omitting cells, changing the sequence and more.mp4 |
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| 5. Overview & the Brokers OANDA and FXCM.mp4 |
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| 5. Preview A Trader Class live in action.mp4 |
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| 5. Student FAQ.html |
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| 5. Taking into account busy Trading Hours.mp4 |
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| 5. The Default Argument None.mp4 |
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| 5. The Default Argument None.srt |
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| 5. The Impact of Granularity.mp4 |
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| 5. The method get_data().mp4 |
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| 5. The shift() method.mp4 |
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| 5. Tips for Python Beginners.mp4 |
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| 5. Underfitting.mp4 |
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| 5. Underfitting.srt |
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| 5. Vectorized Operations with Numpy Arrays.mp4 |
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| 5. Vectorized Strategy Backtesting.mp4 |
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| 5. Vectorized Strategy Backtesting.mp4 |
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| 5. Vectorized Strategy Backtesting.srt |
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| 50. Advanced Filtering with between(), isin() and ~.mp4 |
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| 50. Advanced Filtering with between(), isin() and ~.srt |
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| 50. Keywords pass, continue and break.mp4 |
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| 50. Keywords pass, continue and break.srt |
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| 51. Calculate a Project´s Payback Period.mp4 |
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| 51. Calculate a Project´s Payback Period.srt |
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| 51. Intro to NA Values missing Values.mp4 |
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| 52. Handling NA Values missing Values.mp4 |
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| 52. Introduction to while loops.mp4 |
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| 52. Introduction to while loops.srt |
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| 53. Coding Exercise 5.html |
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| 53. Exporting DataFrames to csv.mp4 |
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| 53. Exporting DataFrames to csv.srt |
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| 54. Summary Statistics and Accumulations.mp4 |
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| 54. Summary Statistics and Accumulations.srt |
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| 55. Visualization with Matplotlib (Intro).mp4 |
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| 55. Visualization with Matplotlib (Intro).srt |
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| 56. Customization of Plots.mp4 |
84.12Мб |
| 56. Customization of Plots.srt |
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| 57. Histogramms (Part 1).mp4 |
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| 57. Histogramms (Part 1).srt |
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| 58. Histogramms (Part 2).mp4 |
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| 58. Histogramms (Part 2).srt |
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| 59. Scatterplots.mp4 |
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| 6.1 Mutability_arrays.pdf |
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| 6.1 spread.pdf |
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| 6. Adding lags.mp4 |
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| 6. Adding lags.srt |
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| 6. Calculate Interest Rates and Returns with Python.mp4 |
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| 6. Calculate Interest Rates and Returns with Python.srt |
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| 6. Changing Elements in Numpy Arrays & Mutability.mp4 |
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| 6. Changing Elements in Numpy Arrays & Mutability.srt |
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| 6. Changing the Window Parameter.mp4 |
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| 6. Changing the Window Parameter.srt |
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| 6. Closing Positions vs. Hedging Positions.mp4 |
18.49Мб |
| 6. Closing Positions vs. Hedging Positions.srt |
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| 6. Conclusions.mp4 |
18.02Мб |
| 6. Conclusions.srt |
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| 6. Creating an Iterative Base Class (Part 3).mp4 |
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| 6. Creating an Iterative Base Class (Part 3).srt |
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| 6. Creating the Class (Part 1).mp4 |
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| 6. Creating the Class (Part 1).srt |
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| 6. Generalization with OOP A Bollinger Bands Backtesting Class in action.mp4 |
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| 6. Getting the Data.mp4 |
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| 6. Getting the Data.srt |
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| 6. Getting the Instance Ready for Algorithmic Trading.mp4 |
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| 6. Getting the Instance Ready for Algorithmic Trading.srt |
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| 6. How to collect and store real-time tick data.mp4 |
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| 6. How to collect and store real-time tick data.srt |
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| 6. How to unpack Iterables.mp4 |
18.62Мб |
| 6. How to unpack Iterables.srt |
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| 6. IndexErrors.mp4 |
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| 6. IndexErrors.srt |
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| 6. LEGAL DISCLAIMER (MUST READ!) .html |
2.56Кб |
| 6. OANDA Connecting to the APIServer.mp4 |
48.32Мб |
| 6. OANDA Connecting to the APIServer.srt |
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| 6. Out-Sample Forward Testing.mp4 |
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| 6. Out-Sample Forward Testing.srt |
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| 6. Performance Metrics.mp4 |
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| 6. Performance Metrics.srt |
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| 6. Storing and resampling real-time tick data (Part 1).mp4 |
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| 6. Storing and resampling real-time tick data (Part 1).srt |
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| 6. Strategy Backtesting.mp4 |
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| 6. Strategy Backtesting.srt |
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| 6. The Exception class.mp4 |
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| 6. The Exception class.srt |
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| 6. The method log_returns().mp4 |
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| 6. The method log_returns().srt |
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| 6. The methods diff() and pct_change().mp4 |
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| 6. The methods diff() and pct_change().srt |
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| 6. Trading Costs and Performance Attribution.mp4 |
69.54Мб |
| 6. Trading Costs and Performance Attribution.srt |
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| 60. First Steps with Seaborn.mp4 |
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| 60. First Steps with Seaborn.srt |
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| 61. Categorical Seaborn Plots.mp4 |
70.72Мб |
| 61. Categorical Seaborn Plots.srt |
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| 62. Seaborn Regression Plots.mp4 |
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| 62. Seaborn Regression Plots.srt |
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| 63. Seaborn Heatmaps.mp4 |
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| 63. Seaborn Heatmaps.srt |
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| 64. Removing Columns.mp4 |
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| 64. Removing Columns.srt |
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| 65. Introduction to GroupBy Operations.mp4 |
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| 65. Introduction to GroupBy Operations.srt |
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| 66. Understanding the GroupBy Object.mp4 |
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| 66. Understanding the GroupBy Object.srt |
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| 67. Splitting with many Keys.mp4 |
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| 67. Splitting with many Keys.srt |
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| 68. split-apply-combine.mp4 |
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| 68. split-apply-combine.srt |
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| 7.1 Slicing_arrays.pdf |
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| 7. A simple Linear Model to predict Financial Returns (Part 1).mp4 |
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| 7. A simple Linear Model to predict Financial Returns (Part 1).srt |
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| 7. A Trader Class.mp4 |
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| 7. A Trader Class.srt |
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| 7. Combining both Strategies - Alternative 2.mp4 |
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| 7. Combining both Strategies - Alternative 2.srt |
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| 7. Creating an Iterative Base Class (Part 4).mp4 |
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| 7. Creating an Iterative Base Class (Part 4).srt |
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| 7. Creating the Class (Part 2).mp4 |
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| 7. Creating the Class (Part 2).srt |
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| 7. Generalization with OOP A Classification Backtesting Class in action.mp4 |
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| 7. Indentation Errors.mp4 |
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| 7. Indentation Errors.srt |
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| 7. Introduction to Variables.mp4 |
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| 7. Margin and Leverage.mp4 |
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| 7. Margin and Leverage.srt |
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| 7. Measuring Stock Performance with MEAN Returns and STD of Returns.mp4 |
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| 7. Measuring Stock Performance with MEAN Returns and STD of Returns.srt |
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| 7. OANDA How to load Historical Price Data (Part 1).mp4 |
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| 7. OANDA How to load Historical Price Data (Part 1).srt |
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| 7. OOP Challenge Create the Bollinger Bands Backtesting Class (incl. Solution).mp4 |
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| 7. OOP Challenge Create the Bollinger Bands Backtesting Class (incl. Solution).srt |
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| 7. Order Types at a glance.mp4 |
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| 7. Order Types at a glance.srt |
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| 7. Sequences as arguments and args.mp4 |
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| 7. Sequences as arguments and args.srt |
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| 7. Splitting into Train and Test Set.mp4 |
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| 7. Splitting into Train and Test Set.srt |
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| 7. Storing and resampling real-time tick data (Part 1).mp4 |
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| 7. Storing and resampling real-time tick data (Part 1).srt |
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| 7. String representation and the special method __repr__().mp4 |
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| 7. String representation and the special method __repr__().srt |
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| 7. Trades and Trading Costs (Part 1).mp4 |
59.04Мб |
| 7. Trades and Trading Costs (Part 1).srt |
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| 7. try, except, else.mp4 |
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| 7. try, except, else.srt |
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| 7. View vs. copy - potential Pitfalls when slicing Numpy Arrays.mp4 |
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| 7. View vs. copy - potential Pitfalls when slicing Numpy Arrays.srt |
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| 7. Weekend and Bank Holiday Alert.html |
381б |
| 8. A simple Linear Model to predict Financial Returns (Part 2).mp4 |
42.74Мб |
| 8. A simple Linear Model to predict Financial Returns (Part 2).srt |
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| 8. Creating an Iterative Base Class (Part 5).mp4 |
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| 8. Creating an Iterative Base Class (Part 5).srt |
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| 8. Creating the Class (Part 3).mp4 |
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| 8. Creating the Class (Part 3).srt |
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| 8. Excursus How to add inline comments.mp4 |
11.25Мб |
| 8. Excursus How to add inline comments.srt |
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| 8. Feature ScalingEngineering.mp4 |
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| 8. Feature ScalingEngineering.srt |
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| 8. finally.mp4 |
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| 8. finally.srt |
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| 8. Financial Time Series - Return and Risk.mp4 |
44.93Мб |
| 8. Financial Time Series - Return and Risk.srt |
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| 8. How to return many results.mp4 |
13.44Мб |
| 8. How to return many results.srt |
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| 8. How to run Python Scripts in a Windows Command Prompt.mp4 |
29.98Мб |
| 8. How to run Python Scripts in a Windows Command Prompt.srt |
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| 8. Margin Closeout and more.mp4 |
41.31Мб |
| 8. Margin Closeout and more.srt |
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| 8. Misuse of function names and keywords.mp4 |
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| 8. Misuse of function names and keywords.srt |
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| 8. Numpy Array Methods and Attributes.mp4 |
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| 8. Numpy Array Methods and Attributes.srt |
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| 8. OANDA How to load Historical Price Data (Part 2).mp4 |
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| 8. OANDA How to load Historical Price Data (Part 2).srt |
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| 8. Storing and resampling real-time tick data (Part 2).mp4 |
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| 8. Storing and resampling real-time tick data (Part 2).mp4 |
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| 8. Storing and resampling real-time tick data (Part 2).srt |
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| 8. Storing and resampling real-time tick data (Part 2).srt |
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| 8. Strategy Optimization.mp4 |
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| 8. Strategy Optimization.srt |
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| 8. The Classification Backtesting Class explained (Part 1).mp4 |
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| 8. The Classification Backtesting Class explained (Part 1).srt |
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| 8. The methods plot_prices() and plot_returns().mp4 |
34.11Мб |
| 8. The methods plot_prices() and plot_returns().srt |
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| 8. Trades and Trading Costs (Part 2).mp4 |
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| 8. Trades and Trading Costs (Part 2).srt |
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| 8. Trading Challenge.html |
511б |
| 9.1 Candlestick.pdf |
92.60Кб |
| 9.1 Variables.pdf |
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| 9. A Multiple Regression Model to predict Financial Returns.mp4 |
36.68Мб |
| 9. A Multiple Regression Model to predict Financial Returns.srt |
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| 9. Creating and Fitting the DNN Model.mp4 |
47.63Мб |
| 9. Creating and Fitting the DNN Model.srt |
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| 9. Creating an Iterative Base Class (Part 6).mp4 |
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| 9. Creating an Iterative Base Class (Part 6).srt |
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| 9. Creating the Class (Part 4).mp4 |
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| 9. Creating the Class (Part 4).srt |
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| 9. Encapsulation and protected Attributes.mp4 |
24.06Мб |
| 9. Encapsulation and protected Attributes.srt |
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| 9. Financial Time Series - Covariance and Correlation.mp4 |
21.04Мб |
| 9. Financial Time Series - Covariance and Correlation.srt |
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| 9. Generalization with OOP A Contrarian Backtesting Class in action.mp4 |
60.65Мб |
| 9. Generalization with OOP A Contrarian Backtesting Class in action.srt |
8.84Кб |
| 9. How to start Trading sessions with Batch (.bat) Files.mp4 |
31.63Мб |
| 9. How to start Trading sessions with Batch (.bat) Files.srt |
4.15Кб |
| 9. Introduction to Charting.mp4 |
39.66Мб |
| 9. Introduction to Charting.srt |
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| 9. Numpy Universal Functions.mp4 |
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| 9. Numpy Universal Functions.srt |
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| 9. OANDA Streaming high-frequency real-time Data.mp4 |
25.80Мб |
| 9. OANDA Streaming high-frequency real-time Data.srt |
4.00Кб |
| 9. Scope - easily explained.mp4 |
35.26Мб |
| 9. Scope - easily explained.srt |
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| 9. Storing and resampling real-time tick data (Part 3).mp4 |
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| 9. Storing and resampling real-time tick data (Part 3).mp4 |
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| 9. Storing and resampling real-time tick data (Part 3).srt |
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| 9. Storing and resampling real-time tick data (Part 3).srt |
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| 9. The Classification Backtesting Class explained (Part 2).mp4 |
35.22Мб |
| 9. The Classification Backtesting Class explained (Part 2).srt |
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| 9. Try again (...until it works).mp4 |
21.27Мб |
| 9. Try again (...until it works).srt |
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| 9. TypeErrors and ValueErrors.mp4 |
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| 9. TypeErrors and ValueErrors.srt |
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| 9. Variables and Memory (Theory).mp4 |
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| 9. Variables and Memory (Theory).srt |
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| Download Paid Udemy Courses For Free.url |
116б |
| GetFreeCourses.Co.url |
116б |
| GetFreeCourses.Co.url |
116б |
| GetFreeCourses.Co.url |
116б |
| GetFreeCourses.Co.url |
116б |
| How you can help GetFreeCourses.Co.txt |
182б |
| How you can help GetFreeCourses.Co.txt |
182б |
| How you can help GetFreeCourses.Co.txt |
182б |
| How you can help GetFreeCourses.Co.txt |
182б |