Goldman Stacks Stock Market Simulator

GoldmanStacks.app : A full-stack group project with a focus on back-end tools and skills.

Contents

-Description
-Features
-Technologies
-Challenges and Solutions
-Minimum Viable Product (MVP)
-Stretch Goals
-Contributors
-Screenshots
-Special Thanks

Decription

A real-time stock-trading simulation, combining live market data and news with server-side processing to create a robust environment to test out real trading strategies.

Webpages are generated with a server-side Express templating engine and a single page load involves multiple API calls, database queries, and calculations to bring all the data together.

Featured Technologies: Node.js, Express, PostgreSQL, and AWS

Features

• User sign up and log in
• Dashboard showing current portfolio balance, holdings, and current events
• Search feature allows for search based on stock ticker symbol, providing important company information (current price, % change, YTD, Market Cap, PE Ratio, and company news).

Technologies

• HTML
• CSS
• JavaScript
• Node.js
• Express.js
• postreSQL

Challenges and Solutions

Minimum Viable Product (MVP)

• The MVP included an app where a user could sign up, login, save portfolio positions, buy/sell stocks with updates to portfolio. We also wanted to include News pertaining to the user's holdings as part of the MVP.

Stretch Goals

[*] Leaderboard showing rankings among users based on overall portfolio growth.

• Full accessibility features (WAI-ARIA) for use with screen/braille readers

Contributors

* David Colon - https://github.com/Da-Colon
* Puja Fitzpatrick - https://github.com/pujafitz
* Josh Marbert - https://github.com/jmarbert

Screenshots

• Web
• Mobile

Special Thanks