Academic Research Poster

Stock Market Prediction

Project IDPT-S26-0A7195

Lead ResearcherHassan Mirza

Student IDF24CSC042

DepartmentComputer Science

SemesterSemester 3

Abstract

PredictiX is a high-frequency stock trading and prediction platform designed to process real-time market data with low latency. It uses custom Java data structures such as Segment Trees and AVL Trees for fast price analysis and order book management. Built on a distributed architecture with a React dashboard, the system delivers live visualizations and short-term market trend predictions.

Research Team

Etesham IqbalF24CSC008

Internal Supervision

Principal SupervisorSaadia Karim

Academic DivisionFaculty of Information Technology

Poster Actions

No document available.

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