Student Work
Predicting the Price of a Stock
公开可下载的内容
open in viewerThis project investigates the possible short term prediction of stock prices using historical data of the stock and market in general. To this end, we created several models from real data and integrated multiple tools such as autocorrelation, least square linear fit, fourier series, moving averages, correlation with Nasdaq and Dow Jones. The models provided good predictions for over half of the stocks under consideration for ten business days. Further refinements of the model should be considered.
- This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
- Creator
- Publisher
- Identifier
- E-project-022718-223546
- 关键词
- Advisor
- Year
- 2018
- Date created
- 2018-02-27
- Resource type
- Rights statement
- 最新修改
- 2022-02-11
关系
- 属于 Collection:
项目
Permanent link to this page: https://digital.wpi.edu/show/b5644s09s