Forecasting Stock Prices with Seasonal ARIMA

By Michael Glushchenko.

This is a final project for UCSB PSTAT 174 Fall 2022 (Time Series Analysis).

Technologies Used

1. Python was used for data collection and aggregation, here's the link to the script.
2. Yahoo Finance API and TD Ameritrade API were used as data sources.
3. R was used to perform Time Series Analysis, create a model, and make forecasts.
4. Latex was used to organize results and create a proper report paper.