Client:
Start Date:
End Date:
Technologies:
- Python programming language
- Requests library
- Selenium library
- SQLite database
- Pandas library
- NumPy library
- Scikit-Learn library
Project Description:
This project is essentially a data analysis robot for trading Total company stocks. Since the client was involved in the Total company, they proposed gathering 15 variables that potentially affect the price of Total company stocks, including Brent oil price, number of wells drilled, USD to Euro exchange rate, gold price, copper price, CAC40 stock index, etc. These variables were collected from reliable financial and banking websites. Then, mathematical algorithms were used to analyze this data to discover hidden relationships and trends in the profitability and loss of this index, in order to provide buying and selling signals to the user.
Our Tasks:
- Collecting information on 15 target variables from reputable financial and banking websites
- Data preprocessing: integration, sorting, and cleaning of data
- Storing data in databases
- Implementation of correlation discovery algorithms
- Implementation of periodicity analysis
- Implementation of probability analysis