StockTraxx – CSE Senior Design

Team Name

The Scalpers

Timeline

Fall 2021 – Spring 2022

Students

Sahil Bajaj
Rishabh Chopra
Bipul Paudel
Parash Ghimire

Abstract

StockTraxx software is a system that is used to predict different stock prices depending on the user’s needs. The project is build in order to provide convenient and a feasible user experience as they can easily access future stock predictions with just one tap. This project uses the concept of deep learning and machine learning to predict stock prices and prevent underfitting and overfitting of prediction mod- els. By using this webapp, clients can minimise their loss and maximize profits by getting a vague idea of what the future prices of a particular stock will be.

Background

This project uses the concept of deep learning and machine learning to predict stock prices and prevent underfitting and overfitting of prediction models. By using this webapp, clients can minimise their loss and maximize profits by getting a vague idea of what the future prices of a particular stock will be.

Project Requirements

A good network connection.

System Overview

It has 4 layers: Presentation layer, Data Service layer, Business layer, Data Access layer. The Presentation Layer will consist of the framework of the website/webapp. This layer will be the face of the project, StockTraxx and will be interactive with respect to the user/client. The Data Service Layer acts as a bridge between the Presentation Layer and the Business Layer. This layer is also connected to the Database Layer in order to cache all the clients/users information and access it when required. The Business Layer is the one that contains all the back-end code of the project. This layer includes all the API calls used for prediction and storage of the data. The Data Access Layer will consist of the stock database. This layer will store the data and will retrieve data.