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GetFreeCourses.Co-Udemy-Algorithmic Trading A-Z with Python, Machine Learning & AWS
magnet:?xt=urn:btih:9e19824af1f1b679952510407c4f1d05b043f716&dn=GetFreeCourses.Co-Udemy-Algorithmic Trading A-Z with Python, Machine Learning & AWS
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Hash值:
9e19824af1f1b679952510407c4f1d05b043f716
点击数:
269
文件大小:
12.82 GB
文件数量:
391
创建日期:
2022-12-2 16:59
最后访问:
2024-6-27 19:22
访问标签:
GetFreeCourses
Co-Udemy-Algorithmic
Trading
A-Z
with
Python
Machine
Learning
&
AWS
文件列表详情
1. Getting Started/1. What is Algorithmic Trading Course Overview.mp4 38.27 MB
1. Getting Started/2. How to get the best out of this course.mp4 37.57 MB
1. Getting Started/3. Did you know... (what Data can tell us about Day Trading).mp4 39.24 MB
10. Introduction to Time Series Data in Pandas/1. Importing Time Series Data from csv-files.mp4 34.42 MB
10. Introduction to Time Series Data in Pandas/2. Converting strings to datetime objects with pd.to_datetime().mp4 48.85 MB
10. Introduction to Time Series Data in Pandas/3. Indexing and Slicing Time Series.mp4 40.63 MB
10. Introduction to Time Series Data in Pandas/4. Downsampling Time Series with resample().mp4 72.18 MB
10. Introduction to Time Series Data in Pandas/5. Coding Exercise 1.mp4 35.91 MB
11. Financial Data Analysis with Pandas - an Introduction/1. Getting Ready (Installing required library).mp4 18.34 MB
11. Financial Data Analysis with Pandas - an Introduction/11. Simple Returns vs. Log Returns.mp4 32.65 MB
11. Financial Data Analysis with Pandas - an Introduction/12. Importing Financial Data from Excel.mp4 80.7 MB
11. Financial Data Analysis with Pandas - an Introduction/13. Simple Moving Averages (SMA) with rolling().mp4 40.98 MB
11. Financial Data Analysis with Pandas - an Introduction/14. Momentum Trading Strategies with SMAs.mp4 33.01 MB
11. Financial Data Analysis with Pandas - an Introduction/15. Exponentially-weighted Moving Averages (EWMA).mp4 23.79 MB
11. Financial Data Analysis with Pandas - an Introduction/16. Merging Aligning Financial Time Series (hands-on).mp4 25.9 MB
11. Financial Data Analysis with Pandas - an Introduction/2. Importing Stock Price Data from Yahoo Finance.mp4 58.5 MB
11. Financial Data Analysis with Pandas - an Introduction/3. Initial Inspection and Visualization.mp4 36.34 MB
11. Financial Data Analysis with Pandas - an Introduction/4. Normalizing Time Series to a Base Value (100).mp4 37.36 MB
11. Financial Data Analysis with Pandas - an Introduction/5. The shift() method.mp4 29.49 MB
11. Financial Data Analysis with Pandas - an Introduction/6. The methods diff() and pct_change().mp4 32.71 MB
11. Financial Data Analysis with Pandas - an Introduction/7. Measuring Stock Performance with MEAN Returns and STD of Returns.mp4 34.87 MB
11. Financial Data Analysis with Pandas - an Introduction/8. Financial Time Series - Return and Risk.mp4 44.93 MB
11. Financial Data Analysis with Pandas - an Introduction/9. Financial Time Series - Covariance and Correlation.mp4 21.04 MB
12. Advanced Topics/1. Helpful DatetimeIndex Attributes and Methods.mp4 37.38 MB
12. Advanced Topics/2. Filling NA Values with bfill, ffill and interpolation.mp4 68.43 MB
12. Advanced Topics/3. Timezones and Converting (Part 1).mp4 29.36 MB
12. Advanced Topics/4. Timezones and Converting (Part 2).mp4 36.91 MB
13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/1. Introduction to OOP and examples for Classes.mp4 63.75 MB
13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/10. The method set_ticker().mp4 25.15 MB
13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/11. Adding more methods and performance metrics.mp4 45.38 MB
13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/12. Inheritance.mp4 78.88 MB
13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/13. Inheritance and the super() Function.mp4 53.87 MB
13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/14. Adding meaningful Docstrings.mp4 50.03 MB
13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/15. Creating and Importing Python Modules (.py).mp4 20.8 MB
13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/16. Coding Exercise 3 Create your own Class.mp4 37.05 MB
13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/2. The Financial Analysis Class live in action (Part 1).mp4 27.26 MB
13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/3. The Financial Analysis Class live in action (Part 2).mp4 19.75 MB
13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/4. The special method __init__().mp4 35.03 MB
13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/5. The method get_data().mp4 42.74 MB
13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/6. The method log_returns().mp4 22.98 MB
13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/7. String representation and the special method __repr__().mp4 22.13 MB
13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/8. The methods plot_prices() and plot_returns().mp4 34.11 MB
13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/9. Encapsulation and protected Attributes.mp4 24.06 MB
14. +++ PART 3 Defining and Testing Trading Strategies +++/1. Introduction to Part 3.mp4 41.33 MB
14. +++ PART 3 Defining and Testing Trading Strategies +++/2. Trading Strategies - an Overview.mp4 46.94 MB
14. +++ PART 3 Defining and Testing Trading Strategies +++/4. Getting the Data.mp4 20.26 MB
14. +++ PART 3 Defining and Testing Trading Strategies +++/5. A simple Buy and Hold Strategy.mp4 26.11 MB
14. +++ PART 3 Defining and Testing Trading Strategies +++/6. Performance Metrics.mp4 38.07 MB
15. Defining and Backtesting SMA Strategies/1. SMA Crossover Strategies - Overview.mp4 44.01 MB
15. Defining and Backtesting SMA Strategies/10. Creating the Class (Part 5).mp4 21.08 MB
15. Defining and Backtesting SMA Strategies/11. Creating the Class (Part 6).mp4 36.35 MB
15. Defining and Backtesting SMA Strategies/12. Creating the Class (Part 7).mp4 25.1 MB
15. Defining and Backtesting SMA Strategies/13. Creating the Class (Part 8).mp4 32.75 MB
15. Defining and Backtesting SMA Strategies/2. Defining an SMA Crossover Strategy.mp4 43.69 MB
15. Defining and Backtesting SMA Strategies/3. Vectorized Strategy Backtesting.mp4 58.33 MB
15. Defining and Backtesting SMA Strategies/4. Finding the optimal SMA Strategy.mp4 82.77 MB
15. Defining and Backtesting SMA Strategies/5. Generalization with OOP An SMA Backtesting Class in action.mp4 73.61 MB
15. Defining and Backtesting SMA Strategies/6. Creating the Class (Part 1).mp4 20.26 MB
15. Defining and Backtesting SMA Strategies/7. Creating the Class (Part 2).mp4 65.52 MB
15. Defining and Backtesting SMA Strategies/8. Creating the Class (Part 3).mp4 39.38 MB
15. Defining and Backtesting SMA Strategies/9. Creating the Class (Part 4).mp4 38.46 MB
16. Defining and Backtesting simple MomentumContrarian Strategies/1. Simple ContrarianMomentum Strategies - Overview.mp4 19.97 MB
16. Defining and Backtesting simple MomentumContrarian Strategies/10. OOP Challenge Create the Contrarian Backtesting Class (incl. Solution).mp4 0 字节
16. Defining and Backtesting simple MomentumContrarian Strategies/2. Getting the Data.mp4 15.39 MB
16. Defining and Backtesting simple MomentumContrarian Strategies/3. Excursus Your FAQs answered.mp4 31.16 MB
16. Defining and Backtesting simple MomentumContrarian Strategies/4. Defining a simple Contrarian Strategy.mp4 21.46 MB
16. Defining and Backtesting simple MomentumContrarian Strategies/5. Vectorized Strategy Backtesting.mp4 28.93 MB
16. Defining and Backtesting simple MomentumContrarian Strategies/6. Changing the Window Parameter.mp4 39.18 MB
16. Defining and Backtesting simple MomentumContrarian Strategies/7. Trades and Trading Costs (Part 1).mp4 59.04 MB
16. Defining and Backtesting simple MomentumContrarian Strategies/8. Trades and Trading Costs (Part 2).mp4 21.94 MB
16. Defining and Backtesting simple MomentumContrarian Strategies/9. Generalization with OOP A Contrarian Backtesting Class in action.mp4 60.65 MB
17. Defining and Backtesting Mean-Reversion Strategies (Bollinger)/1. Mean-Reversion Strategies - Overview.mp4 51.41 MB
17. Defining and Backtesting Mean-Reversion Strategies (Bollinger)/2. Getting the Data.mp4 11.62 MB
17. Defining and Backtesting Mean-Reversion Strategies (Bollinger)/3. Defining a Bollinger Bands Mean-Reversion Strategy (Part 1).mp4 29.79 MB
17. Defining and Backtesting Mean-Reversion Strategies (Bollinger)/4. Defining a Bollinger Bands Mean-Reversion Strategy (Part 2).mp4 70.65 MB
17. Defining and Backtesting Mean-Reversion Strategies (Bollinger)/5. Vectorized Strategy Backtesting.mp4 40.2 MB
17. Defining and Backtesting Mean-Reversion Strategies (Bollinger)/6. Generalization with OOP A Bollinger Bands Backtesting Class in action.mp4 0 字节
17. Defining and Backtesting Mean-Reversion Strategies (Bollinger)/7. OOP Challenge Create the Bollinger Bands Backtesting Class (incl. Solution).mp4 0 字节
18. Trading Strategies powered by Machine Learning - Regression/1. Machine Learning - an Overview.mp4 42.53 MB
18. Trading Strategies powered by Machine Learning - Regression/10. In-Sample Backtesting and the Look-ahead-bias.mp4 20.18 MB
18. Trading Strategies powered by Machine Learning - Regression/11. Out-Sample Forward Testing.mp4 30.44 MB
18. Trading Strategies powered by Machine Learning - Regression/2. Linear Regression with scikit-learn - a simple Introduction.mp4 48.3 MB
18. Trading Strategies powered by Machine Learning - Regression/3. Making Predictions with Linear Regression.mp4 16.24 MB
18. Trading Strategies powered by Machine Learning - Regression/4. Overfitting.mp4 38.4 MB
18. Trading Strategies powered by Machine Learning - Regression/5. Underfitting.mp4 23.56 MB
18. Trading Strategies powered by Machine Learning - Regression/6. Getting the Data.mp4 9.5 MB
18. Trading Strategies powered by Machine Learning - Regression/7. A simple Linear Model to predict Financial Returns (Part 1).mp4 17.79 MB
18. Trading Strategies powered by Machine Learning - Regression/8. A simple Linear Model to predict Financial Returns (Part 2).mp4 42.74 MB
18. Trading Strategies powered by Machine Learning - Regression/9. A Multiple Regression Model to predict Financial Returns.mp4 36.68 MB
19. Trading Strategies powered by Machine Learning - Classification/1. Logistic Regression with scikit-learn - a simple Introduction (Part 1).mp4 0 字节
19. Trading Strategies powered by Machine Learning - Classification/2. Logistic Regression with scikit-learn - a simple Introduction (Part 2).mp4 0 字节
19. Trading Strategies powered by Machine Learning - Classification/3. Getting and Preparing the Data.mp4 17.03 MB
19. Trading Strategies powered by Machine Learning - Classification/4. Predicting Market Direction with Logistic Regression.mp4 27.44 MB
19. Trading Strategies powered by Machine Learning - Classification/5. In-Sample Backtesting and the Look-ahead-bias.mp4 14.19 MB
19. Trading Strategies powered by Machine Learning - Classification/6. Out-Sample Forward Testing.mp4 20.11 MB
19. Trading Strategies powered by Machine Learning - Classification/7. Generalization with OOP A Classification Backtesting Class in action.mp4 0 字节
19. Trading Strategies powered by Machine Learning - Classification/8. The Classification Backtesting Class explained (Part 1).mp4 54.45 MB
19. Trading Strategies powered by Machine Learning - Classification/9. The Classification Backtesting Class explained (Part 2).mp4 35.22 MB
2. +++ PART 1 Day Trading, Online Brokers and APIs +++/1. Our very first Trade.mp4 13.9 MB
2. +++ PART 1 Day Trading, Online Brokers and APIs +++/2. Long Term Investing vs. (Algorithmic) Day Trading.mp4 30.9 MB
2. +++ PART 1 Day Trading, Online Brokers and APIs +++/3. Spot Trading vs. Derivatives Trading (Part 1).mp4 57.79 MB
2. +++ PART 1 Day Trading, Online Brokers and APIs +++/4. Spot Trading vs. Derivatives Trading (Part 2).mp4 67.47 MB
2. +++ PART 1 Day Trading, Online Brokers and APIs +++/5. Overview & the Brokers OANDA and FXCM.mp4 30.27 MB
20. Advanced Backtesting Techniques/1. Introduction to Iterative Backtesting (event-driven).mp4 30.12 MB
20. Advanced Backtesting Techniques/10. Creating an Iterative Base Class (Part 7).mp4 50.4 MB
20. Advanced Backtesting Techniques/11. Creating an Iterative Base Class (Part 8).mp4 56.36 MB
20. Advanced Backtesting Techniques/12. Adding the Iterative Backtest Child Class for SMA (Part 1).mp4 53.08 MB
20. Advanced Backtesting Techniques/13. Adding the Iterative Backtest Child Class for SMA (Part 2).mp4 78.37 MB
20. Advanced Backtesting Techniques/14. Using Modules and adding Docstrings.mp4 38.88 MB
20. Advanced Backtesting Techniques/15. OOP Challenge Add Contrarian and Bollinger Strategies.mp4 65.82 MB
20. Advanced Backtesting Techniques/2. A first Intuition on Iterative Backtesting (Part 1).mp4 34.82 MB
20. Advanced Backtesting Techniques/3. A first Intuition on Iterative Backtesting (Part 2).mp4 38.02 MB
20. Advanced Backtesting Techniques/4. Creating an Iterative Base Class (Part 1).mp4 27.18 MB
20. Advanced Backtesting Techniques/5. Creating an Iterative Base Class (Part 2).mp4 16.92 MB
20. Advanced Backtesting Techniques/6. Creating an Iterative Base Class (Part 3).mp4 15.15 MB
20. Advanced Backtesting Techniques/7. Creating an Iterative Base Class (Part 4).mp4 49.37 MB
20. Advanced Backtesting Techniques/8. Creating an Iterative Base Class (Part 5).mp4 39.36 MB
20. Advanced Backtesting Techniques/9. Creating an Iterative Base Class (Part 6).mp4 33.79 MB
21. +++ PART 4 Real-time Implementation and Automation of Strategies +++/1. Introduction and Overview.mp4 10.78 MB
22. Implementation and Automation with OANDA (UPDATED!)/10. Storing and resampling real-time tick data (Part 4).mp4 64.12 MB
22. Implementation and Automation with OANDA (UPDATED!)/11. Storing and resampling real-time tick data (Part 5).mp4 30.87 MB
22. Implementation and Automation with OANDA (UPDATED!)/12. Working with historical data and real-time tick data (Part 1).mp4 49.43 MB
22. Implementation and Automation with OANDA (UPDATED!)/13. Working with historical data and real-time tick data (Part 2).mp4 49.06 MB
22. Implementation and Automation with OANDA (UPDATED!)/14. Working with historical data and real-time tick data (Part 3).mp4 30.04 MB
22. Implementation and Automation with OANDA (UPDATED!)/15. Defining a simple Contrarian Strategy.mp4 51.66 MB
22. Implementation and Automation with OANDA (UPDATED!)/16. Placing Orders and Executing Trades.mp4 57.49 MB
22. Implementation and Automation with OANDA (UPDATED!)/17. Trade Monitoring and Reporting.mp4 84.56 MB
22. Implementation and Automation with OANDA (UPDATED!)/18. Trading other Strategies - Coding Challenge.mp4 12.56 MB
22. Implementation and Automation with OANDA (UPDATED!)/19. Implementing an SMA Crossover Strategy (Solution).mp4 37.04 MB
22. Implementation and Automation with OANDA (UPDATED!)/2. Updating the Wrapper Package (Part 2).mp4 25.41 MB
22. Implementation and Automation with OANDA (UPDATED!)/20. Implementing a Bollinger Bands Strategy (Solution).mp4 30.4 MB
22. Implementation and Automation with OANDA (UPDATED!)/21. Machine Learning Strategies (1) - Model Fitting.mp4 33.75 MB
22. Implementation and Automation with OANDA (UPDATED!)/22. Machine Learning Strategies (2) - Implementation.mp4 61.58 MB
22. Implementation and Automation with OANDA (UPDATED!)/23. Importing a Trader Module Class.mp4 19.19 MB
22. Implementation and Automation with OANDA (UPDATED!)/25. Running a Python Trader Script.mp4 58.72 MB
22. Implementation and Automation with OANDA (UPDATED!)/4. Historical Data, real-time Data and Orders (Recap).mp4 72.76 MB
22. Implementation and Automation with OANDA (UPDATED!)/5. Preview A Trader Class live in action.mp4 47.96 MB
22. Implementation and Automation with OANDA (UPDATED!)/6. How to collect and store real-time tick data.mp4 40.41 MB
22. Implementation and Automation with OANDA (UPDATED!)/7. Storing and resampling real-time tick data (Part 1).mp4 59.83 MB
22. Implementation and Automation with OANDA (UPDATED!)/8. Storing and resampling real-time tick data (Part 2).mp4 45.99 MB
22. Implementation and Automation with OANDA (UPDATED!)/9. Storing and resampling real-time tick data (Part 3).mp4 32.13 MB
23. Implementation and Automation with FXCM (Updated!)/10. Working with historical data and real-time tick data (Part 1).mp4 34.52 MB
23. Implementation and Automation with FXCM (Updated!)/11. Working with historical data and real-time tick data (Part 2).mp4 49.57 MB
23. Implementation and Automation with FXCM (Updated!)/12. Working with historical data and real-time tick data (Part 3).mp4 29.94 MB
23. Implementation and Automation with FXCM (Updated!)/13. Defining a Simple Contrarian Trading Strategy.mp4 42.25 MB
23. Implementation and Automation with FXCM (Updated!)/14. Placing Orders and Executing Trades.mp4 58.21 MB
23. Implementation and Automation with FXCM (Updated!)/15. Trade Monitoring and Reporting.mp4 56.16 MB
23. Implementation and Automation with FXCM (Updated!)/16. Trading other Strategies - Coding Challenge.mp4 14.07 MB
23. Implementation and Automation with FXCM (Updated!)/17. SMA Crossover and Bollinger Bands (Solution).mp4 41.79 MB
23. Implementation and Automation with FXCM (Updated!)/18. Machine Learning Strategies (1) - Model Fitting.mp4 33.86 MB
23. Implementation and Automation with FXCM (Updated!)/19. Machine Learning Strategies (2) - Implementation.mp4 53.91 MB
23. Implementation and Automation with FXCM (Updated!)/2. Historical Data, real-time Data and Orders (Recap).mp4 65.82 MB
23. Implementation and Automation with FXCM (Updated!)/21. Running a Python Script.mp4 47.66 MB
23. Implementation and Automation with FXCM (Updated!)/4. Preview A Trader Class live in action.mp4 50.8 MB
23. Implementation and Automation with FXCM (Updated!)/5. Collecting and storing real-time tick data.mp4 53.99 MB
23. Implementation and Automation with FXCM (Updated!)/6. Storing and resampling real-time tick data (Part 1).mp4 64.55 MB
23. Implementation and Automation with FXCM (Updated!)/7. A Trader Class.mp4 39.47 MB
23. Implementation and Automation with FXCM (Updated!)/8. Storing and resampling real-time tick data (Part 2).mp4 68.17 MB
23. Implementation and Automation with FXCM (Updated!)/9. Storing and resampling real-time tick data (Part 3).mp4 25.25 MB
24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/1. Introduction and Motivation.mp4 20.22 MB
24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/10. How to schedule Trading sessions with the Task Scheduler.mp4 39.23 MB
24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/11. How to stop Trading Sessions (OANDA).mp4 49.48 MB
24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/12. How to stop Trading Sessions (FXCM).mp4 45.87 MB
24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/2. Demonstration AWS EC2 for Algorithmic Trading live in action.mp4 0 字节
24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/3. Amazon Web Services (AWS) - Overview and how to create a Free Trial Account.mp4 0 字节
24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/4. How to create an EC2 Instance.mp4 71.79 MB
24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/5. How to connect to your EC2 Instance.mp4 33.13 MB
24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/6. Getting the Instance Ready for Algorithmic Trading.mp4 60.04 MB
24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/8. How to run Python Scripts in a Windows Command Prompt.mp4 29.98 MB
24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/9. How to start Trading sessions with Batch (.bat) Files.mp4 31.63 MB
25. +++ PART 5 Expert Tips & Tricks, Case Studies and more +++/1. Overview.mp4 10.23 MB
26. Trading Hours, Spreads and Granularity - control and limit Trading Costs!/1. Introduction and Preparing the Data.mp4 36.83 MB
26. Trading Hours, Spreads and Granularity - control and limit Trading Costs!/2. The best time to trade (Part 1).mp4 19.04 MB
26. Trading Hours, Spreads and Granularity - control and limit Trading Costs!/3. The best time to trade (Part 2).mp4 19.06 MB
26. Trading Hours, Spreads and Granularity - control and limit Trading Costs!/4. Spreads during the busy hours.mp4 13.24 MB
26. Trading Hours, Spreads and Granularity - control and limit Trading Costs!/5. The Impact of Granularity.mp4 28.19 MB
26. Trading Hours, Spreads and Granularity - control and limit Trading Costs!/6. Conclusions.mp4 18.02 MB
27. Working with two or many Strategies (Combination)/1. Introduction.mp4 11.47 MB
27. Working with two or many Strategies (Combination)/2. Strategy 1 SMA.mp4 13.27 MB
27. Working with two or many Strategies (Combination)/3. Strategy 2 Mean Reversion.mp4 14.55 MB
27. Working with two or many Strategies (Combination)/4. Combining both Strategies - Alternative 1.mp4 37.47 MB
27. Working with two or many Strategies (Combination)/5. Taking into account busy Trading Hours.mp4 15.21 MB
27. Working with two or many Strategies (Combination)/6. Strategy Backtesting.mp4 10.87 MB
27. Working with two or many Strategies (Combination)/7. Combining both Strategies - Alternative 2.mp4 22.17 MB
27. Working with two or many Strategies (Combination)/8. Strategy Optimization.mp4 68.54 MB
28. A Machine Learning-powered Strategy A-Z (DNN)/1. Project Overview.mp4 23.79 MB
28. A Machine Learning-powered Strategy A-Z (DNN)/10. Prediction & Out-Sample Forward Testing.mp4 48.27 MB
28. A Machine Learning-powered Strategy A-Z (DNN)/11. Saving Model and Parameters.mp4 18.24 MB
28. A Machine Learning-powered Strategy A-Z (DNN)/13. Implementation (Oanda & FXCM).mp4 112.43 MB
28. A Machine Learning-powered Strategy A-Z (DNN)/3. Installation of Tensorflow & Keras (Part 2).mp4 49.81 MB
28. A Machine Learning-powered Strategy A-Z (DNN)/4. Getting and Preparing the Data.mp4 8.43 MB
28. A Machine Learning-powered Strategy A-Z (DNN)/5. Adding LabelsFeatures.mp4 37.73 MB
28. A Machine Learning-powered Strategy A-Z (DNN)/6. Adding lags.mp4 19.23 MB
28. A Machine Learning-powered Strategy A-Z (DNN)/7. Splitting into Train and Test Set.mp4 9.83 MB
28. A Machine Learning-powered Strategy A-Z (DNN)/8. Feature ScalingEngineering.mp4 26.39 MB
28. A Machine Learning-powered Strategy A-Z (DNN)/9. Creating and Fitting the DNN Model.mp4 47.63 MB
29. Error Handling How to make your Trading Bot more stable and reliable/1. Introduction.mp4 19.55 MB
29. Error Handling How to make your Trading Bot more stable and reliable/10. How to limit the number of retries.mp4 13.68 MB
29. Error Handling How to make your Trading Bot more stable and reliable/11. Waiting periods between re-tries.mp4 25.86 MB
29. Error Handling How to make your Trading Bot more stable and reliable/12. Implementation with Oanda V20 Connection Issues.mp4 36.15 MB
29. Error Handling How to make your Trading Bot more stable and reliable/13. Oanda Error Handling (Part 1).mp4 44.54 MB
29. Error Handling How to make your Trading Bot more stable and reliable/14. Oanda Error Handling (Part 2).mp4 64.14 MB
29. Error Handling How to make your Trading Bot more stable and reliable/15. Oanda Error Handling (Part 3).mp4 34.55 MB
29. Error Handling How to make your Trading Bot more stable and reliable/16. Implementation with FXCM APIServer Issues.mp4 20.83 MB
29. Error Handling How to make your Trading Bot more stable and reliable/17. FXCM Error Handling (Part 1).mp4 41.84 MB
29. Error Handling How to make your Trading Bot more stable and reliable/18. FXCM Error Handling (Part 2).mp4 38.16 MB
29. Error Handling How to make your Trading Bot more stable and reliable/3. Python Errors (Exceptions).mp4 6.83 MB
29. Error Handling How to make your Trading Bot more stable and reliable/4. try and except.mp4 8.89 MB
29. Error Handling How to make your Trading Bot more stable and reliable/5. Catching specific Errors.mp4 7.56 MB
29. Error Handling How to make your Trading Bot more stable and reliable/6. The Exception class.mp4 5.67 MB
29. Error Handling How to make your Trading Bot more stable and reliable/7. try, except, else.mp4 25.15 MB
29. Error Handling How to make your Trading Bot more stable and reliable/8. finally.mp4 20.12 MB
29. Error Handling How to make your Trading Bot more stable and reliable/9. Try again (...until it works).mp4 21.27 MB
3. Day Trading with OANDA A-Z a Deep Dive/1. OANDA at a first glance.mp4 65.91 MB
3. Day Trading with OANDA A-Z a Deep Dive/10. Our third Trade A-Z - Going Short EURUSD.mp4 61.88 MB
3. Day Trading with OANDA A-Z a Deep Dive/11. Netting vs. Hedging.mp4 60.84 MB
3. Day Trading with OANDA A-Z a Deep Dive/12. Market, Limit and Stop Orders.mp4 39.27 MB
3. Day Trading with OANDA A-Z a Deep Dive/13. Take-Profit and Stop-Loss Orders.mp4 24.44 MB
3. Day Trading with OANDA A-Z a Deep Dive/14. A more general Example.mp4 30.79 MB
3. Day Trading with OANDA A-Z a Deep Dive/2. How to create an Account.mp4 48.28 MB
3. Day Trading with OANDA A-Z a Deep Dive/3. FOREX Currency Exchange Rates explained.mp4 59.54 MB
3. Day Trading with OANDA A-Z a Deep Dive/4. Our second Trade - EURUSD FOREX Trading.mp4 42.93 MB
3. Day Trading with OANDA A-Z a Deep Dive/5. How to calculate Profit & Loss of a Trade.mp4 48.85 MB
3. Day Trading with OANDA A-Z a Deep Dive/6. Trading Costs and Performance Attribution.mp4 69.54 MB
3. Day Trading with OANDA A-Z a Deep Dive/7. Margin and Leverage.mp4 70.56 MB
3. Day Trading with OANDA A-Z a Deep Dive/8. Margin Closeout and more.mp4 41.31 MB
3. Day Trading with OANDA A-Z a Deep Dive/9. Introduction to Charting.mp4 39.66 MB
30. +++ APPENDIX Python Crash Course +++/1. Overview.mp4 6.85 MB
31. Appendix 1 Python (& Finance) Basics/10. More on Variables and Memory.mp4 22.22 MB
31. Appendix 1 Python (& Finance) Basics/11. Variables - Dos, Don´ts and Conventions.mp4 17.06 MB
31. Appendix 1 Python (& Finance) Basics/12. The print() Function.mp4 17.42 MB
31. Appendix 1 Python (& Finance) Basics/13. Coding Exercise 1.mp4 46.77 MB
31. Appendix 1 Python (& Finance) Basics/14. TVM Problems with many Cashflows.mp4 10.47 MB
31. Appendix 1 Python (& Finance) Basics/15. Intro to Python Lists.mp4 7.77 MB
31. Appendix 1 Python (& Finance) Basics/16. Zero-based Indexing and negative Indexing in Python (Theory).mp4 7.44 MB
31. Appendix 1 Python (& Finance) Basics/17. Indexing Lists.mp4 13.87 MB
31. Appendix 1 Python (& Finance) Basics/18. For Loops - Iterating over Lists.mp4 29.91 MB
31. Appendix 1 Python (& Finance) Basics/19. The range Object - another Iterable.mp4 17.08 MB
31. Appendix 1 Python (& Finance) Basics/2. Intro to the Time Value of Money (TVM) Concept (Theory).mp4 16.49 MB
31. Appendix 1 Python (& Finance) Basics/20. Calculate FV and PV for many Cashflows.mp4 33.52 MB
31. Appendix 1 Python (& Finance) Basics/21. The Net Present Value - NPV (Theory).mp4 33.29 MB
31. Appendix 1 Python (& Finance) Basics/22. Calculate an Investment Project´s NPV.mp4 14.34 MB
31. Appendix 1 Python (& Finance) Basics/23. Coding Exercise 2.mp4 37.98 MB
31. Appendix 1 Python (& Finance) Basics/24. Data Types in Action.mp4 24.33 MB
31. Appendix 1 Python (& Finance) Basics/25. The Data Type Hierarchy (Theory).mp4 10.78 MB
31. Appendix 1 Python (& Finance) Basics/26. Excursus Dynamic Typing in Python.mp4 5.2 MB
31. Appendix 1 Python (& Finance) Basics/27. Build-in Functions.mp4 25.39 MB
31. Appendix 1 Python (& Finance) Basics/28. Integers.mp4 10.97 MB
31. Appendix 1 Python (& Finance) Basics/29. Floats.mp4 24.33 MB
31. Appendix 1 Python (& Finance) Basics/3. Calculate Future Values (FV) with Python Compounding.mp4 12.76 MB
31. Appendix 1 Python (& Finance) Basics/30. How to round Floats (and Integers) with round().mp4 20.91 MB
31. Appendix 1 Python (& Finance) Basics/31. More on Lists.mp4 24.59 MB
31. Appendix 1 Python (& Finance) Basics/32. Lists and Element-wise Operations.mp4 17.58 MB
31. Appendix 1 Python (& Finance) Basics/33. Slicing Lists.mp4 20.13 MB
31. Appendix 1 Python (& Finance) Basics/35. Changing Elements in Lists.mp4 10.12 MB
31. Appendix 1 Python (& Finance) Basics/36. Sorting and Reversing Lists.mp4 13.19 MB
31. Appendix 1 Python (& Finance) Basics/37. Adding and removing Elements fromto Lists.mp4 38.54 MB
31. Appendix 1 Python (& Finance) Basics/38. Mutable vs. immutable Objects (Part 1).mp4 34.5 MB
31. Appendix 1 Python (& Finance) Basics/39. Mutable vs. immutable Objects (Part 2).mp4 21.86 MB
31. Appendix 1 Python (& Finance) Basics/4. Calculate Present Values (FV) with Python Discounting.mp4 10.06 MB
31. Appendix 1 Python (& Finance) Basics/40. Coding Exercise 3.mp4 53.8 MB
31. Appendix 1 Python (& Finance) Basics/41. Tuples.mp4 29.79 MB
31. Appendix 1 Python (& Finance) Basics/42. Dictionaries.mp4 31.03 MB
31. Appendix 1 Python (& Finance) Basics/43. Intro to Strings.mp4 40.83 MB
31. Appendix 1 Python (& Finance) Basics/44. String Replacement.mp4 17.31 MB
31. Appendix 1 Python (& Finance) Basics/45. Booleans.mp4 8.89 MB
31. Appendix 1 Python (& Finance) Basics/46. Operators (Theory).mp4 11.7 MB
31. Appendix 1 Python (& Finance) Basics/47. Comparison, Logical and Membership Operators in Action.mp4 35.53 MB
31. Appendix 1 Python (& Finance) Basics/48. Coding Exercise 4.mp4 42.3 MB
31. Appendix 1 Python (& Finance) Basics/49. Conditional Statements.mp4 38.63 MB
31. Appendix 1 Python (& Finance) Basics/5. Interest Rates and Returns (Theory).mp4 14.19 MB
31. Appendix 1 Python (& Finance) Basics/50. Keywords pass, continue and break.mp4 39.39 MB
31. Appendix 1 Python (& Finance) Basics/51. Calculate a Project´s Payback Period.mp4 21.87 MB
31. Appendix 1 Python (& Finance) Basics/52. Introduction to while loops.mp4 35.65 MB
31. Appendix 1 Python (& Finance) Basics/6. Calculate Interest Rates and Returns with Python.mp4 19.26 MB
31. Appendix 1 Python (& Finance) Basics/7. Introduction to Variables.mp4 18.13 MB
31. Appendix 1 Python (& Finance) Basics/8. Excursus How to add inline comments.mp4 11.25 MB
31. Appendix 1 Python (& Finance) Basics/9. Variables and Memory (Theory).mp4 5.47 MB
32. Appendix 2 User-defined Functions (required for OOP)/2. Defining your first user-defined Function.mp4 27.36 MB
32. Appendix 2 User-defined Functions (required for OOP)/3. What´s the difference between Positional Arguments vs. Keyword Arguments.mp4 36.34 MB
32. Appendix 2 User-defined Functions (required for OOP)/4. How to work with Default Arguments.mp4 28.48 MB
32. Appendix 2 User-defined Functions (required for OOP)/5. The Default Argument None.mp4 26.79 MB
32. Appendix 2 User-defined Functions (required for OOP)/6. How to unpack Iterables.mp4 18.62 MB
32. Appendix 2 User-defined Functions (required for OOP)/7. Sequences as arguments and args.mp4 26.28 MB
32. Appendix 2 User-defined Functions (required for OOP)/8. How to return many results.mp4 13.44 MB
32. Appendix 2 User-defined Functions (required for OOP)/9. Scope - easily explained.mp4 35.26 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/10. Boolean Arrays and Conditional Filtering.mp4 18.14 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/11. Advanced Filtering & Bitwise Operators.mp4 28.18 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/12. Determining a Project´s Payback Period with np.where().mp4 22.54 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/13. Creating Numpy Arrays from Scratch.mp4 37.87 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/15. How to work with nested Lists.mp4 18.24 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/16. 2-dimensional Numpy Arrays.mp4 16.13 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/17. How to slice 2-dim Numpy Arrays (Part 1).mp4 28.93 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/18. How to slice 2-dim Numpy Arrays (Part 2).mp4 8.75 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/19. Recap Changing Elements in a Numpy Array slice.mp4 16.51 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/2. Modules, Packages and Libraries - No need to reinvent the Wheel.mp4 32.02 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/20. How to perform row-wise and column-wise Operations.mp4 22.47 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/22. Intro to Tabular Data Pandas.mp4 18.08 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/23. Create your very first Pandas DataFrame (from csv).mp4 62.52 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/24. Pandas Display Options and the methods head() & tail().mp4 40.48 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/25. First Data Inspection.mp4 56.02 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/27. Selecting Columns.mp4 26.63 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/28. Selecting one Column with the dot notation.mp4 8.55 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/29. Zero-based Indexing and Negative Indexing.mp4 10.18 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/3. Numpy Arrays.mp4 35.7 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/30. Selecting Rows with iloc (position-based indexing).mp4 65.01 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/31. Slicing Rows and Columns with iloc (position-based indexing).mp4 24.28 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/33. Selecting Rows with loc (label-based indexing).mp4 21.32 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/34. Slicing Rows and Columns with loc (label-based indexing).mp4 77.57 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/36. Summary, Best Practices and Outlook.mp4 42.02 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/38. First Steps with Pandas Series.mp4 18.99 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/39. Analyzing Numerical Series with unique(), nunique() and value_counts().mp4 0 字节
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/4. Indexing and Slicing Numpy Arrays.mp4 13.67 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/40. Analyzing non-numerical Series with unique(), nunique(), value_counts().mp4 0 字节
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/41. The copy() method.mp4 20.78 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/42. Sorting of Series and Introduction to the inplace - parameter.mp4 33.42 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/43. First Steps with Pandas Index Objects.mp4 37.14 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/44. Changing Row Index with set_index() and reset_index().mp4 63.07 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/45. Changing Column Labels.mp4 17.97 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/46. Renaming Index & Column Labels with rename().mp4 27.99 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/47. Filtering DataFrames (one Condition).mp4 44.85 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/48. Filtering DataFrames by many Conditions (AND).mp4 21.23 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/49. Filtering DataFrames by many Conditions (OR).mp4 25.79 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/5. Vectorized Operations with Numpy Arrays.mp4 18.73 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/50. Advanced Filtering with between(), isin() and ~.mp4 54.43 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/51. Intro to NA Values missing Values.mp4 38.16 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/52. Handling NA Values missing Values.mp4 56.25 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/53. Exporting DataFrames to csv.mp4 10.59 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/54. Summary Statistics and Accumulations.mp4 46.93 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/55. Visualization with Matplotlib (Intro).mp4 59.12 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/56. Customization of Plots.mp4 84.12 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/57. Histogramms (Part 1).mp4 20.46 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/58. Histogramms (Part 2).mp4 28.85 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/59. Scatterplots.mp4 29.46 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/6. Changing Elements in Numpy Arrays & Mutability.mp4 24.52 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/60. First Steps with Seaborn.mp4 18.25 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/61. Categorical Seaborn Plots.mp4 70.72 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/62. Seaborn Regression Plots.mp4 66.52 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/63. Seaborn Heatmaps.mp4 35.71 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/64. Removing Columns.mp4 29.62 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/65. Introduction to GroupBy Operations.mp4 8.09 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/66. Understanding the GroupBy Object.mp4 39.43 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/67. Splitting with many Keys.mp4 42.24 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/68. split-apply-combine.mp4 40.1 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/7. View vs. copy - potential Pitfalls when slicing Numpy Arrays.mp4 19.26 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/8. Numpy Array Methods and Attributes.mp4 21.98 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/9. Numpy Universal Functions.mp4 17.77 MB
4. FOREX Day Trading with FXCM/1. FXCM at a first glance.mp4 67.52 MB
4. FOREX Day Trading with FXCM/2. How to create an Account.mp4 53.89 MB
4. FOREX Day Trading with FXCM/3. Example Trade Buying EURUSD.mp4 24.42 MB
4. FOREX Day Trading with FXCM/4. Trade Analysis.mp4 18.81 MB
4. FOREX Day Trading with FXCM/5. Charting.mp4 13.7 MB
4. FOREX Day Trading with FXCM/6. Closing Positions vs. Hedging Positions.mp4 18.49 MB
4. FOREX Day Trading with FXCM/7. Order Types at a glance.mp4 27.53 MB
5. Installing Python and Jupyter Notebooks/1. Introduction.mp4 8.91 MB
5. Installing Python and Jupyter Notebooks/2. Download and Install Anaconda.mp4 60.88 MB
5. Installing Python and Jupyter Notebooks/3. How to open Jupyter Notebooks.mp4 50.92 MB
5. Installing Python and Jupyter Notebooks/4. How to work with Jupyter Notebooks.mp4 53.46 MB
5. Installing Python and Jupyter Notebooks/5. Tips for Python Beginners.mp4 6.2 MB
6. Excursus How to avoid and debug Coding Errors (don´t skip!)/1. Introduction.mp4 17.15 MB
6. Excursus How to avoid and debug Coding Errors (don´t skip!)/10. Getting help on StackOverflow.com.mp4 39.52 MB
6. Excursus How to avoid and debug Coding Errors (don´t skip!)/11. How to traceback more complex Errors.mp4 96.84 MB
6. Excursus How to avoid and debug Coding Errors (don´t skip!)/12. Problems with the Python Installation.mp4 34 MB
6. Excursus How to avoid and debug Coding Errors (don´t skip!)/13. External Factors and Issues.mp4 17.43 MB
6. Excursus How to avoid and debug Coding Errors (don´t skip!)/14. Errors related to the course content (Transcription Errors).mp4 16.4 MB
6. Excursus How to avoid and debug Coding Errors (don´t skip!)/15. Summary and Debugging Flow-Chart.mp4 26.36 MB
6. Excursus How to avoid and debug Coding Errors (don´t skip!)/2. Test your debugging skills!.mp4 58.59 MB
6. Excursus How to avoid and debug Coding Errors (don´t skip!)/3. Major reasons for Coding Errors.mp4 5.39 MB
6. Excursus How to avoid and debug Coding Errors (don´t skip!)/4. The most commonly made Errors at a glance.mp4 35.49 MB
6. Excursus How to avoid and debug Coding Errors (don´t skip!)/5. Omitting cells, changing the sequence and more.mp4 50.01 MB
6. Excursus How to avoid and debug Coding Errors (don´t skip!)/6. IndexErrors.mp4 31.09 MB
6. Excursus How to avoid and debug Coding Errors (don´t skip!)/7. Indentation Errors.mp4 12.21 MB
6. Excursus How to avoid and debug Coding Errors (don´t skip!)/8. Misuse of function names and keywords.mp4 12.37 MB
6. Excursus How to avoid and debug Coding Errors (don´t skip!)/9. TypeErrors and ValueErrors.mp4 16.75 MB
7. Trading with Python and OANDAFXCM - an Introduction/10. OANDA How to place Orders and execute Trades.mp4 85.46 MB
7. Trading with Python and OANDAFXCM - an Introduction/13. FXCM How to install the FXCM API Wrapper.mp4 32.54 MB
7. Trading with Python and OANDAFXCM - an Introduction/14. FXCM Getting the Access Token & other Preparations.mp4 21.07 MB
7. Trading with Python and OANDAFXCM - an Introduction/15. FXCM Connecting to the APIServer.mp4 42.81 MB
7. Trading with Python and OANDAFXCM - an Introduction/17. FXCM How to load Historical Price Data (Part 1).mp4 51.78 MB
7. Trading with Python and OANDAFXCM - an Introduction/18. FXCM How to load Historical Price Data (Part 2).mp4 43.26 MB
7. Trading with Python and OANDAFXCM - an Introduction/19. FXCM Streaming high-frequency real-time Data.mp4 47.68 MB
7. Trading with Python and OANDAFXCM - an Introduction/2. Overview.mp4 4.52 MB
7. Trading with Python and OANDAFXCM - an Introduction/20. FXCM How to place Orders and execute Trades.mp4 45.97 MB
7. Trading with Python and OANDAFXCM - an Introduction/4. OANDA How to install the OANDA API Wrapper.mp4 28.38 MB
7. Trading with Python and OANDAFXCM - an Introduction/5. OANDA Getting the API Key & other Preparations.mp4 31.49 MB
7. Trading with Python and OANDAFXCM - an Introduction/6. OANDA Connecting to the APIServer.mp4 48.32 MB
7. Trading with Python and OANDAFXCM - an Introduction/7. OANDA How to load Historical Price Data (Part 1).mp4 57.36 MB
7. Trading with Python and OANDAFXCM - an Introduction/8. OANDA How to load Historical Price Data (Part 2).mp4 33.46 MB
7. Trading with Python and OANDAFXCM - an Introduction/9. OANDA Streaming high-frequency real-time Data.mp4 25.8 MB
8. Conclusion and Outlook/1. Conclusion and Outlook.mp4 3.95 MB
9. +++ PART 2 Pandas for Financial Data Analysis and Introduction to OOP +++/1. Introduction and Downloads Part 2.mp4 17.93 MB
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