/Stock-Market-Analysis

BIST-30 Clustering & Correlation

Primary LanguageJupyter Notebook

Stock Market Analysis

bist

Buisness problem

Financial analysts working on the analysis and research department of a domestic investment firm will use the data of the stocks in BİST-30 to segment them and give advice on how their customers should build a portfolio according to the results of these analyzes

In this study, the data scraping method will be used to obtain data belonging to İŞ-investment. The data that we obtained comes with the clustering method, we are going to classify by volatility and income.

Datasets

In this data set, there are financial information and closing price of stocks. The reason we obtained it with the data scraping method is that the study remains up-to-date. If we want to update it in the future, we can do that easily.

Variables

  • Stocks Name

  • Date

  • Price

  • Income

  • Volatility