GetFreeCourses.Co-Udemy-Algorithmic Trading A-Z with Python, Machine Learning & AWS
File Information:
- Magnet Link:Magnet Link
- File Size:13.15 GB
- Creat Time:2024-05-24
- Active Degree:180
- Last Active:2024-11-22
- File Tags:GetFreeCourses Co Udemy Algorithmic Trading A Z with Python Machine Learning AWS
- Statement:This site does not provide download links, only text displays, and does not contain any infringement.
File List:
- 28. A Machine Learning-powered Strategy A-Z (DNN)/13. Implementation (Oanda & FXCM).mp4 115.13 MB
- 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/11. How to traceback more complex Errors.mp4 99.16 MB
- 7. Trading with Python and OANDAFXCM - an Introduction/10. OANDA How to place Orders and execute Trades.mp4 87.51 MB
- 22. Implementation and Automation with OANDA (UPDATED!)/17. Trade Monitoring and Reporting.mp4 86.59 MB
- 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/56. Customization of Plots.mp4 86.14 MB
- 15. Defining and Backtesting SMA Strategies/4. Finding the optimal SMA Strategy.mp4 84.76 MB
- 11. Financial Data Analysis with Pandas - an Introduction/12. Importing Financial Data from Excel.mp4 82.63 MB
- 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/12. Inheritance.mp4 80.77 MB
- 20. Advanced Backtesting Techniques/13. Adding the Iterative Backtest Child Class for SMA (Part 2).mp4 80.25 MB
- 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/34. Slicing Rows and Columns with loc (label-based indexing).mp4 79.43 MB
- 15. Defining and Backtesting SMA Strategies/5. Generalization with OOP An SMA Backtesting Class in action.mp4 75.38 MB
- 22. Implementation and Automation with OANDA (UPDATED!)/4. Historical Data, real-time Data and Orders (Recap).mp4 74.50 MB
- 10. Introduction to Time Series Data in Pandas/4. Downsampling Time Series with resample().mp4 73.91 MB
- 24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/4. How to create an EC2 Instance.mp4 73.52 MB
- 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/61. Categorical Seaborn Plots.mp4 72.42 MB
- 17. Defining and Backtesting Mean-Reversion Strategies (Bollinger)/4. Defining a Bollinger Bands Mean-Reversion Strategy (Part 2).mp4 72.34 MB
- 3. Day Trading with OANDA A-Z a Deep Dive/7. Margin and Leverage.mp4 72.25 MB
- 3. Day Trading with OANDA A-Z a Deep Dive/6. Trading Costs and Performance Attribution.mp4 71.21 MB
- 27. Working with two or many Strategies (Combination)/8. Strategy Optimization.mp4 70.19 MB
- 12. Advanced Topics/2. Filling NA Values with bfill, ffill and interpolation.mp4 70.07 MB
- 23. Implementation and Automation with FXCM (Updated!)/8. Storing and resampling real-time tick data (Part 2).mp4 69.80 MB
- 4. FOREX Day Trading with FXCM/1. FXCM at a first glance.mp4 69.14 MB
- 2. +++ PART 1 Day Trading, Online Brokers and APIs +++/4. Spot Trading vs. Derivatives Trading (Part 2).mp4 69.09 MB
- 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/62. Seaborn Regression Plots.mp4 68.12 MB
- 3. Day Trading with OANDA A-Z a Deep Dive/1. OANDA at a first glance.mp4 67.49 MB
- 23. Implementation and Automation with FXCM (Updated!)/2. Historical Data, real-time Data and Orders (Recap).mp4 67.40 MB
- 20. Advanced Backtesting Techniques/15. OOP Challenge Add Contrarian and Bollinger Strategies.mp4 67.40 MB
- 15. Defining and Backtesting SMA Strategies/7. Creating the Class (Part 2).mp4 67.09 MB
- 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/30. Selecting Rows with iloc (position-based indexing).mp4 66.57 MB
- 23. Implementation and Automation with FXCM (Updated!)/6. Storing and resampling real-time tick data (Part 1).mp4 66.10 MB
- 29. Error Handling How to make your Trading Bot more stable and reliable/14. Oanda Error Handling (Part 2).mp4 65.68 MB
- 22. Implementation and Automation with OANDA (UPDATED!)/10. Storing and resampling real-time tick data (Part 4).mp4 65.66 MB
- 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/1. Introduction to OOP and examples for Classes.mp4 65.28 MB
- 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/44. Changing Row Index with set_index() and reset_index().mp4 64.58 MB
- 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/23. Create your very first Pandas DataFrame (from csv).mp4 64.02 MB
- 3. Day Trading with OANDA A-Z a Deep Dive/10. Our third Trade A-Z - Going Short EURUSD.mp4 63.37 MB
- 22. Implementation and Automation with OANDA (UPDATED!)/22. Machine Learning Strategies (2) - Implementation.mp4 63.06 MB
- 5. Installing Python and Jupyter Notebooks/2. Download and Install Anaconda.mp4 62.34 MB
- 3. Day Trading with OANDA A-Z a Deep Dive/11. Netting vs. Hedging.mp4 62.30 MB
- 16. Defining and Backtesting simple MomentumContrarian Strategies/9. Generalization with OOP A Contrarian Backtesting Class in action.mp4 62.10 MB
- 24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/6. Getting the Instance Ready for Algorithmic Trading.mp4 61.48 MB
- 22. Implementation and Automation with OANDA (UPDATED!)/7. Storing and resampling real-time tick data (Part 1).mp4 61.27 MB
- 3. Day Trading with OANDA A-Z a Deep Dive/3. FOREX Currency Exchange Rates explained.mp4 60.97 MB
- 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/55. Visualization with Matplotlib (Intro).mp4 60.54 MB
- 16. Defining and Backtesting simple MomentumContrarian Strategies/7. Trades and Trading Costs (Part 1).mp4 60.45 MB
- 22. Implementation and Automation with OANDA (UPDATED!)/25. Running a Python Trader Script.mp4 60.13 MB
- 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/2. Test your debugging skills!.mp4 60.00 MB
- 11. Financial Data Analysis with Pandas - an Introduction/2. Importing Stock Price Data from Yahoo Finance.mp4 59.91 MB
- 15. Defining and Backtesting SMA Strategies/3. Vectorized Strategy Backtesting.mp4 59.73 MB
- 23. Implementation and Automation with FXCM (Updated!)/14. Placing Orders and Executing Trades.mp4 59.61 MB
GetFreeCourses.Co-Udemy-Algorithmic Trading A-Z with Python, Machine Learning & AWS
Hot Tags: