Python Algorithm that Recommends Stocks Buying and Selling Using 100MA and 30MA: Computer Science Literature Review, UOL, UK
| University | University of London (UOL) |
| Subject | Computer Science |
INTRODUCTION
In this literature review, I will be exploring different literature types of literature that are similar or that can expand my knowledge related to the title: Python algorithm that recommends stocks buying and selling using 100MA and 30MA. I have been reading several books such as Python and Algorithmic Trading by Yves Hilpisch and Learn Algorithmic Trading by Sebastien Donadio, Sourav Ghosh.
This literature Review would be critiquing several different types of AI algorithm trading and explain these feature and disadvantages and advantages of using this AI algorithm. That are used in articles besides, my articles will indulge in difference between human trading and machine trading.
Furthermore, several articles and YouTube videos, these literatures instigate different types of algorithms like NumPy functions and how to create data frames, filtering, descriptive statistics (summary), join/merge, grouping, and sub-setting. I also dwelled into little bit of time-series data.
Are You Looking for Answer of This Assignment or Essay
For students at the University of London (UOL) pursuing studies in Computer Science, mastering intricate topics like Python algorithms for stock recommendations can be a daunting task. That’s where our dedicated online assignment helper and Dissertation Writing Help services come into play. Whether you’re diving into complex coding or conducting a comprehensive literature review, our experts are here to provide the guidance you need. Don’t let the complexities of your coursework impede your progress. Pay our experts to ensure your success at UOL and excel in your journey toward becoming proficient in computer science.
Answer
Do You Need Assignment of This Question
