Harvard CS50 Final Project
Forex Trend Finder App in React Native

By Rachel Hunter for Harvard University's CS50 Introduction to Computer Science

Problem the App aims to solve:

What major FX currencies are moving the most? Rank them strongest to weakest.

YouTube Demonstration of "Harvard CS50 Forex Trend Finder App in React Native"

Technologies used:

1. Google Sheets: for data source.
2. Google App Script (in JavaScript): for analysing raw data to rank currencies strongest to weakest and sends results from Google Sheets to Google’s Firebase.
3. Firebase (stores data in json): database source for App authentication and data source.
4. React Native App (reads JavaScript): for developing an App compatible for iOS and Android.
5. Redux: for state management.

Custom code (excluding libraries and dependencies):

1. ./src directory
2. ./GoogleAppScript.js
3. ./index.js

The Google App Script is included in the ./GoogleAppScript.js file.

Personal Firebase Realtime database code has been removed for privacy from:

1. ./src/App.js = configuration code
2. ./GoogleAppScript.js = database secret

Dependencies used:

Listed in the ./package.json file.

© This project has been prepared by Rachel Hunter, for copyright to TraderRach Limited, a company registered in New Zealand.