Investment Analysis — Dataset
In this article, we will use open-source libraries to create the dataset for investment analysis purposes.
This article is part of the Investment Analysis series.
The source code is available in this repository.
Getting Started
Previously we talked about open source investment research using the OpenBB Terminal. For every market, there could be thousands of stocks to research. Without any automation, it becomes challenging to short-list promising stocks worth spending our time researching.
In an earlier article, we use Python to gather stock data and perform fundamental analysis. Leveraging the same idea, let’s create a better dataset for analysis purposes.
Python Libraries — investpy and yfinance
We will use the investpy and yfinance Python libraries to gather data from different sources.
Using the investpy library, we can get a list of stocks for a particular market. With the information, we can get the stock details, financial information, dividend history, cash flow, earning dates, news, recommendations, and other information from the respective sources using investpy or…
