Giter VIP home page Giter VIP logo

api_metrics_db's Introduction

Practical project in WS 23/24: Infrastructure for economic fundamentals

Supervisor: Prof. Dr. Johann Schaible
Elaboration by: Fabian Jülich and Denis Kalacevic

This project follows on from the previous one, where we implemented the idea of ​​publishing the 12 most important metrics for evaluating stocks by handing over a ticker. Now we plan to store this data over a longer period of time in order to be able to analyze changes and associated opportunities.

Building on Procurement & Analysis of stock key figures

Documentation

  1. Infrastructure (Jülich)

  2. Usage

  3. API Comparison (Kalacevic)

Project Overview

  • Collecting data on stocks of specific indices over time in a database using a cron job.
  • Comparing between different APIs (AlphaVantage, Financial Modeling Prep, Leeway).

The persistent data should be usable for analysis (e.g. comparing a company's P/E ratio with the boxplot of other P/E ratios in the same sector).

api_metrics_db's People

Contributors

fabianjuelich avatar deniskalacevic avatar edgarkinetz98 avatar wanjaschaible avatar

Watchers

avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.