Predicting Financial Time-Series

​From ARIMA to Deep Learning: Forecasting Short-Term Market Movements - Ivan Brigida

This is the second workshop in our series on financial data automation and analysis. In the first session, "Economics and Automation Workshop: Building a Data Pipeline for Economic Insights" participants built an automated data pipeline to retrieve and analyze macroeconomic indicators.

Outline:

• ​Introduction & Overview (Recap of the previous workshop, objectives, and agenda)

• ​Data Acquisition & Preprocessing (Yahoo Finance API, SQLite storage, generating additional variables)

• ​Exploratory Analysis & Time-Series Features

• ​Forecasting Techniques (Prophet, ARIMA, Deep Learning)

• ​Visualization & Deployment (Plotly, Streamlit Cloud, GitHub Actions)

​About the speaker:

Ivan Brigida, a Senior Business Analyst at Google, has over a decade of experience in data science, economic analysis, and business intelligence. He is the creator of pythoninvest.com, where he publishes analytical articles on retail investing, and he developed the Stock Markets Analytics Zoomcamp, a course focused on algorithmic trading strategies for stock markets using machine learning.