Algorithmic Trading A-Z with Python and Machine Learning U2051

Tutorial / Ecourse Algorithmic Trading A-Z with Python and Machine Learning 1. Getting Started 10. Financial Data Analysis with Pandas - an Introduction 11. Advanced Topics 12. Object Oriented Programming (OOP) Creating a Financial Instrument Class 13. +++ PART 3 Defining and Testing Trading Strategies +++ 14. Defining and Backtesting SMA Strategies 15. Defining and Backtesting simple MomentumContrarian Strategies 16. Defining and Backtesting Mean-Reversion Strategies (Bollinger) 17. Trading Strategies powered by Machine Learning - Regression 18. Trading Strategies powered by Machine Learning - Classification 19. Advanced Backtesting Techniques 2. +++ PART 1 Day Trading, On Brokers and APIs +++ 20. +++ PART 4 Real-time Implementation and Automation of Strategies +++ 21. Implementation and Automation with OANDA 22. Implementation and Automation with FXCM 23. +++ PART 5 Expert Tips amp; Tricks, Case Studies and more +++ 24. Trading Hours, Spreads and Granularity - control and limit Trading Costs! 25. Working with two or many Strategies (Combination) 26. A Machine Learning-powered Strategy A-Z 27. +++ APPENDIX Python Crash Course +++ 28. Appendix 1 Python ( amp; Finance) Basics 29. Appendix 2 User-defined Functions (required for OOP) 3. Day Trading with OANDA A-Z a Deep Dive 30. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course 31. What´s next 4. FOREX Day Trading with FXCM 5. Installing Python and Jupyter Notebooks 6. Trading with Python and OANDAFXCM - an Introduction 7. Conclusion and Outlook 8. +++ PART 2 Pandas for Financial Data Analysis and Introduction to OOP +++ 9. Introduction to Time Series Data in Pandas Paket dikirim berupa Membercard + Bonus Sertakan email dan nomor WA di note transaksi. SKU : 3131/1520602048359776256/55