About Site Language

Magni eaque corporis laboriosam vitae placeat obcaecati quaerat nam. Perferendis, doloremque repudiandae? Tempore quod illum quae autem reiciendis.

I changed my language, but I’m still seeing resources in the other languages?

Quibusdam, error nobis harum accusamus laborum neque unde! Blanditiis inventore ad voluptatibus sapiente, natus tempore nam ullam quidem.

WHDL - 00014780

Detecting Stock Market Patterns via Standard Query Language Data Analytics

Braelyn Blessing Boerner

Resource Types

Academic (Thesis, Dissertation, Etc.)

Resource Languages

English

Institutional Repository

Northwest Nazarene University

Description / Abstract

Submitted to the Department of Mathematics and Computer Science in partial fulfillment of the requirements for the degree of Bachelor of Arts Computer Science

Predictive analysis within the stock market has been a goal of many different banks and large organizations as well as individual traders, as there are substantial monetary gains to be had. The objective of this project is to ask the question: Can one use patterns developed within the stock market to predict the behavior and achieve positive financial margins? When beginning this research endeavor, learning the current patterns for trading algorithms is necessary. Traders often use technical analysis to predict future stocks moves. With this information and a sample database of around nineteen years of stock data, this hypothesis was tested on the Golden and Death Cross. Using specialized SQL queries these patterns were investigated through a series of tables and extensively explored to provide relevant data needed to achieve a prediction method for the trading algorithm. The results demonstrated that the opposite hypothesis, buying on the Death Cross and selling on the Golden Cross, occurred when employing these patterns implemented by this approach.

Download this Resource

Download Free from WHDL

Download as a PDF: Detecting Stock Market Patterns
File Size Small - 1.4 MB

Go to Download Information

Subject Index

Copyright Notes

This material is used by permission of the rightsholder in accordance with the terms of the relevant content release. As a user, you have permission to use this content and download a copy for non-commercial use only. Downloading multiple quantities of this resource is expressly forbidden.

KeywordsStock market, SQL, Data analytics

Degree AwardedBachelor of Arts

Awarding InstitutionNorthwest Nazarene University

Committee MembersAudra Butkus, Barry Myers

Supervisor or ChairKevin McCarthy

Peer Reviewed?No

Keep Browsing