Exploring Brazilian Public Capital Market Data

Hi, thanks for visiting this repository. The main goal here is to develop creative analysis and exploration of capital markets and alternative publicly available databases using Python notebooks.

Data scraping

In this section, all data scraping notebooks used to extract financial public information from Brazilian websites are presented. The data is accessed using the Python requests library or other methods and is then cleaned primarily through transformations using Pandas DataFrames. Finally, the data is saved in a local SQLite database, making it ready for further analysis using SQL queries.

1 - Companies sectors by ticker from B3

2 - Mutual funds cadastral informations from CVM

3 - Mutual funds holdings from CVM

4 - Closed trade by trade data from B3

5 - Listed derivatives open positions from B3

6 - Securitie list register from B3

7 - SELIC: Risk free rate from Central Bank

8 - IPCA and others inflations rates from IBGE

9 - Securities Lending Open Positions

Data Analysis

1 - Brazilians Tickers prices monitoring

2 - Brazilians funds holdings analysis