Open Source Wealth Management Software. Angular + NestJS + Prisma + Nx + TypeScript 🤍

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README.md

Ghostfolio

Open Source Portfolio Tracker

Live Demo

Ghostfolio is an open source portfolio tracker. The software empowers busy folks to have a sharp look of their financial assets and to make solid, data-driven investment decisions by evaluating automated static portfolio analysis rules.

Why Ghostfolio?

Ghostfolio is for you if you are...

💼 trading stocks, ETFs or cryptocurrencies on multiple platforms
🏦 pursuing a buy & hold strategy
🎯 interested in getting insights of your portfolio composition
👻 valuing privacy and data ownership
🧘 into minimalism
🧺 caring about diversifying your financial resources
🆓 interested in financial independence
🙅 saying no to spreadsheets in 2021
😎 still reading this list

Features

✅ Create, update and delete transactions
✅ Portfolio performance (Today, YTD, 1Y, 5Y, Max)
✅ Various charts
✅ Static analysis to identify potential risks in your portfolio
✅ Dark Mode

Technology Stack

Ghostfolio is a modern web application written in TypeScript and organized as an Nx workspace.

Backend

The backend is based on NestJS using PostgreSQL as a database and Redis for caching.

Frontend

The frontend is built with Angular.

Getting Started

Prerequisites

Node.js (version 14+)
Yarn
Docker

Setup

Run yarn install
Run cd docker
Run docker compose build
Run docker compose up -d to start PostgreSQL and Redis
Run cd - to go back to the project root directory
Run yarn setup:database to initialize the database schema and populate your database with (example) data
Start server and client (see Development)
Login as Admin with the following Security Token: ae76872ae8f3419c6d6f64bf51888ecbcc703927a342d815fafe486acdb938da07d0cf44fca211a0be74a423238f535362d390a41e81e633a9ce668a6e31cdf9
Go to the Admin Control Panel and press Gather All Data to fetch historical data
Press Sign out and check out the Live Demo

Development

Please make sure you have completed the instructions from Setup

Start server

Debug: Run yarn watch:server and click "Launch Program" in Visual Studio Code
Serve: Run yarn start:server

Start client

Run yarn start:client

Testing

Run yarn test

License

Licensed under the AGPLv3 License.