Table of Contents

• Introduction
• Project Structure
• Installation
• Development
  • Recommended Tools
  • Testing
  • Impressions
  • Running the app

Introduction

We are creating a stock market simulation, where the user can invest in-game currency in a simulated market completely separated from the real world. By providing custom events that pop up randomly and alter the course of our stocks, coupled with a market that never sleeps, we are presenting a fun and fast-paced introduction into the stock market. This is the repository for the backend, the corresponding frontend can be found here.

Structure

fantasymarket-app
├── api        # rest api service
├── database   # database service
├── game       # game service
└── utils      # utility functions

Installation

1. Install Requirements

• go >=1.13
• Task (optional)
• Revive (optional) To install, you can also run $ task install-linter after installing task.
• go-bindata (required for building a binary) - To install, you can also run $ task install-bindata after installing task.
• Windows:
  • gcc
• OSX:
  • You might need to install sqlite (should be installed already)
• Linux:
  • You need to have the development tools package for your distro installed

NOTE: Due to some changes in gcc 10, you might see some warnings because of the sqlite bindings we use. This won't cause any issues.

2. Clone Repo

$ git clone https://github.com/fantasymarket/fantasymarket-app.git
$ cd fantasymarket-app

Development

Recommended Tools

VSCode with the official GO extension or goland

Testing

With Task installed:

$ task test # run tests
$ task lint # lint code

Alternative:

$ go test ./...

Impressions

Landing Page

Chart View

Trading View

Running the app:

After installing all the requirements, start the program by running $ go run main.go.
The console should output information about the status of the program:

INF successfully connected to the database
INF successfully started the game loop
INF successfully started the http server address=localhost:5000

It will then load the last tick from the Database before printing it and the ingame time:

DBG running tick date="2020-01-01 00:00:00 +0000 UTC" tick=2

After this setup, the program prints the indices from the two currently implemented stocks Google and Apple. This is done every 10 seconds, like this:

DBG updated stock index=60032 name=GOOG
DBG updated stock index=60024 name=APPL

The corresponding instructions for running the frontend can be found here.