Team Members

Brennan Larson

• Team Leader
• Oversees Progress
• Resolves Conflicts
• Runs Team Meetings

Daniel Boros

• Architect
• Coordinating Merging and Branching
• Maintains GitHub Issue Tracker
• Standardizes Commits Among Team Members
• Generate Milestones For Each Member In Collaboration With Team Leader
• High-Level Architectural Designer

Ian Johnson

• Customer Communicator
• Remains In Contact With Client As Needed
• Gets Updated System Requirements From Client
• Relays Pertinent Information To Client

Huiting Chen

• Recorder
• Records Detailed Meeting Minutes
• Maintains System Documentation From Design Perspective

Faculty Mentor

Dr. Omar Badreddin
E-mail: oobahy@gmail.com
Office: NAU, Engineering Building, Room 259A
Phone: (928) 523-8273

Sponsor

• Mitchell Ralston, President
• Company: AMCMAZ, LLC
• Address: 2626 N. Rio De Flag Dr., Flagstaff, AZ 86004

Project Details

Description

Stock Market analysis software enables the trader to quickly analyze a vast amount of data. This tool supports the creation of customized analysis techniques that run significantly faster than traditional tools by utilizing a multi-threaded platform. The user is able to get immediate results from analyses.

• This tool provides gap analysis for stock market data going back 10 years.
• The interface is intuitive and expandable to handle other analysis techniques.
• User defines the number of threads to run in parallel.
• Visual representation of stock market data using Candlestick Graphs.

Requirements

• By breaking up the computations, we can run multiple threads in parallel to speed up the processing. To do this, we built our tool on CUDA C which facilitates the creation and management of the multi-threaded application.
• Scalability of the tool works simply when the user creates a new analysis module. The interface is automatically updated to reflect the new analysis technique. This ensures that users of the tool can customize it to their individual analysis needs.
• The tool allows the user to store all stock market data locally, so there is no network dependency that could delay processing.

High-Level Design

Tools

Visual Studio — Details
Python — Details
CUDA — Details
PostgreSQL — Details
GitHub — Details

Schedule

• Meeting Time: Weekdays at 3:00 PM.
• Each team member will briefly summarize their progress from the last week; peer and code reviews will occur to facilitate discussion.
• After each member has briefed everyone else, the team will discuss how to solve problems revealed in the review.
• Discuss plans for the next week, create new issues for the issue tracker, and update milestone.