GithubHelp home page GithubHelp logo

predicting-facebook-stock-price's Introduction

Predicting Facebook Stock Price

Open in Streamlit

Built with

Summary

This project is intended to apply time series forecasting algorithms by using Facebook Stock Price as an example. It is by no means a very practical method to help making decisions for investments. In fact, it is strictly not advisable to use any of this methods as a way to do so.

Models used involved: ARIMA, SARIMAX, Prophet, and LSTM. LSTM seems to perform very well when predicting one day into the future using 10 previous time steps. It was able to capture the trends of rising and dropping in this case. Further explanation is available in the Web Application.

Thank you for checking out!

Web Application

The Web App is accessible here which you can directly see all the visualizations made.

Some Visualizations

New Cases New Cases

predicting-facebook-stock-price's People

Contributors

ansonnn07 avatar

Watchers

 avatar

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    ๐Ÿ–– 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. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

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 โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.