Stock Price Forecasting with Machine Learning

A tool to compare stocks using historical information and price forecasting using machine learning.

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Listing Details

This data analysis tool deploys the free to use Yahoo! Finance API to get historical information on any user-input ticker symbol. The program returns historical charts and graphs about the given company and then deploys a Machine Learning algorithm to build a "future stock price" graph - which forecasts a stock future price over the next 6 months. This algorithm leverages Facebook's open-source "prophet" algorithm to develop the predictions. Note that the program cleanses and normalizes all-time series datasets before running the model, so in its current state the process takes 1-2 minutes to clean the data and then train the model. Please allow processing time when using the web-app.

How can the buyer take this project further?

What is included in the sale ? a) source code for the web-application b) documentation for code c) ongoing support to help get the buyer set up with the technology stack Please note this web-app is an MVP, it may need enhancements to be used in production. What is the technological stack? The software is built using flask and written in python. The webpage uses HTML / CSS Do you have any traffic? We have not launched this tool to the public. Why are you selling? I wrote this analysis for fun but after using the tool locally on my computer, i thought it would be valuable to create a user-facing application for it. I did not intend to build it into a business.  

Tools & Technologies



Machine Learning

Reason for Selling

I have other projects or businesses I would like to focus on

Your Options

Included in the Sale

  • Includes source code
  • Includes design source files

Other Information

  • 1 Offers received

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