/cmpe295

Trying to use power of machine learning to predict stock prices

Primary LanguageJavaScriptMIT LicenseMIT

Waffle.io - Columns and their card count

CONFIG

All config such as username, password, or host should be in ignore folder in current directory. Please ask your project manager for this folder or set it up yourself so you can run the project.

config file

path should be (./ignore/db_config.json)

{
	"username": "****",
	"password": "****",
	"host": "****",
	"port": "****",
	"database": "****",
	"jdbc_prefix": "****",
	"jdbc_setting": "****",
	"api": "****",
	"cookies": "****",
}

Java Database Manager

Read README.md in java folder

Webapp

To run webapp, you will need node and npm installed

cd javascript/webapp
npm install
npm install -g webpack webpack-cli
npm start

Server

To run server, you will need node and npm installed

cd javascript/server
npm install
node app.js

Machine Learning

Read README.md in python folder

Current Version

v0.2.1

APIs

To get the data we need, we have the APIs as following:

  1. Get all stock symbols:
$host:$port/Symbols