Data Warehouse for Algorithmic Trading Stocks-Price Forecasting on Digital Research Infrastructure using Machine Learning Modelling

📊 Data Warehouse for Algorithmic Trading – Student Presentation

Ever wondered how financial data is organized and used to support stock market analysis?

Join this presentation to explore how a Data Warehouse system is built to manage and process large-scale stock market data. The project demonstrates how raw financial data is transformed into structured formats that can be efficiently queried and used for predictive <a href="http://modelling.

🔍” target=”_blank” title=”modelling.

🔍”>modelling.

🔍 You’ll learn:

–
How Data Warehouses store and organize large datasets

–
Star schema design in a real system

–
How data pipelines automate transformation of financial data

–
How machine learning models use prepared datasets for predictions

–
How large datasets are processed efficiently

💡 This presentation shows how data systems connect directly to real-world applications in finance and <a href="http://computing.

Room:” target=”_blank” title=”computing.

Room:”>computing.

Room: HS107, Bldg: 1000 K. L. O. Rd, 1000 K. L. O. Rd, Kelowna, British Columbia, Canada, V1Y 4X8, Virtual: https://events.vtools.ieee.org/m/555684