Project

Accurately predic.ng exchange rates is very important for businesses, investors and decision makers as the foreign exchange market is very fluid and one of the most complicated financial marketplaces. This project aims to develop financial forecas.ng so@ware that is built with Java and makes use of advanced analy.cs to predict exchange rate trends.

There are various currency forecasting methods but will mainly be dealing with financial forecas.ng so@ware. The accuracy of this method depends on the complex nature of the approach used.

The software is built using React Framework which uses Typescript Programming language and the scrip.ng language, HTML. It is also built with Swi@UI to run on iOS opera.ng system which is Apple iPhone’s opera.ng system. My backend service is built using Spring boot, a Java-based framework and MySQL as the database management system, providing RESTful APIs that will be consumed by the iOS applica.on and frontend web applica.on. Software will be deployed using Amazon Web Service (AWS) with a domain purchased on Namecheap hos.ng service. This ensures it is available to the public.

React

React-Bootstrap: Documentation

npm install react-bootstrap bootstrap

React routing Documentation

npm install react-router-dom

Formik for validation: Documentation

npm install formik --save

Yup for Formik Validation Documentation

npm install yup --save

DatePicker for React-Bootstrap Documentation

npm install react-bootstrap-date-picker --force

Firebase Authentication Documentation

npm install firebase --force

Firebase Authentication UI Documentation

npm install firebaseui --force --save

Ag Charts Documentation

npm install ag-charts-react --force

Moment JS Documentation

npm i moment --force