Difference between revisions of "Stock Analysis"
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Link to Project Log: [[Stock Analysis Log]] | Link to Project Log: [[Stock Analysis Log]] | ||
== Project Overview == | == Project Overview == | ||
| − | The financial market is an extremely complicated place. While there are many metrics used to measure the health of markets, the S&P 500 | + | The financial market is an extremely complicated place. While there are many metrics used to measure the health of markets, market values such as the S&P 500, Russell 2000, and the Dow Jones Industrial average are the ones that we will focus on. We will build models of the market so that users can input how they think the interest rate, unemployment rate, price of gold, and other factors will change, and our models will predict how the market will react to those changes. The user will enter their predictions into a user interface, and the product will output visual aid as well as estimated prices and behavior. Our product will help users make more informed investment decisions. |
==Group Members== | ==Group Members== | ||
Revision as of 18:06, 19 September 2018
Link to Project Log: Stock Analysis Log
Contents
Project Overview
The financial market is an extremely complicated place. While there are many metrics used to measure the health of markets, market values such as the S&P 500, Russell 2000, and the Dow Jones Industrial average are the ones that we will focus on. We will build models of the market so that users can input how they think the interest rate, unemployment rate, price of gold, and other factors will change, and our models will predict how the market will react to those changes. The user will enter their predictions into a user interface, and the product will output visual aid as well as estimated prices and behavior. Our product will help users make more informed investment decisions.
Group Members
- Brandt Lawson
- Keith Kamons
- Jessica
- Chang Xue (TA)
Objectives
To produce a user interface which, given a user specified value for some factor, can predict what affect this value will have on future index values such as the s&p 500.
Challanges
- Learning how to use MySQL.
- Learning how to use Python's data analysis toolboxes.
- Data collection and storage in an efficient and complete way
Gantt Chart
Budget
Our goal is to exclusively use open source data and software, which makes our budget $0.00.
Data
Data Scraping
In order to enable our data set to dynamically update, we must create code that will "scrape" the newest information from the specified website.
Database
Once this new data is scraped, we will add it to our relational database using SQL. This will make it more organized and easily searchable.
