Charles Lai's repositories
start-here-guidelines
Lets Git started in the world of opensource, starting in the Zero To Mastery's opensource playground. Especially designed for education and practical experience purposes.
portfolio.github.io
CAL Portfolio/Resume Website
frantzceWebsite.github.io
Frantzce Portfolio Website
crypto-trading-simulator-v2-frontend
Crypto Trading Simulator v2 is a React web app that simulates a cryptocurrency trading platform. This web app will have the same features as it did v1 with new features such as a chart component that plots the 30 day price change of a cryptocurrency, updated model associations that will help us keep track of the positions of a user and their trade history, and a transactions table. Redux will be used to handle our state management. We will be utilizing Axios to send async calls to our server. Our backend will be setup as a Rails API and we will be making use of Active Model Serializers to serialize the data we’re sending back to the frontend.
crypto-trading-simulator-v2-backend
Crypto Trading Simulator v2 Baclend Ruby on Rails API used to communicate and run CRUD actions to our PostgreSQL database. The Rails API will be making use of Active Model Serializers to serialize the data we’re sending back to the frontend.
crypto-trading-simulator
Crypto Trading Simulator (CTS) is a JavaScript web app that simulates a cryptocurrency trading platform. This web app uses the CoinGecko API to fetch up-to date market data of the top 100 cryptocurrencies on their market. The market data is then rendered into the web apps market table which updates the data at an interval. A user is given a $100,000.00 (Fake Currency) as their starting buying power which they can use to buy and sell cryptocurrencies at their current price. Each coin that is bought is then stored into the Rails backend API and rendered into the user's Wallet table which displays the price and quantity of when the coin (cryptocurrency) was bought, along with the current value of that coin in the market, and the calculated return if sold.