Want to learn more?See Best Data Science Courses of 2023 View. The procedure takes place through the command that triggers Google Finance, an extension of Chrome that provides the user with information about the financial market. To accomplish that, we are going to use one of the most powerful and widely used Python packages for data manipulation, pandas. Octo Zakhar Yung Most of you know and use Google Finance for researching investment opportunities and other finance-related things. Google allows you to easily import financial data into a spreadsheet and generate an Excel file. In detail, in the first of our tutorials, we are going to show how one can easily use Python to download financial data from free online databases, manipulate the downloaded data and then create some basic technical indicators which will then be used as the basis of our quantitative strategy. In this series of tutorials we are going to see how one can leverage the powerful functionality provided by a number of Python packages to develop and backtest a quantitative trading strategy. Python has been gaining significant traction in the financial industry over the last years and with good reason.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |