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Prediction of stock prices with a basic linear regression algorithm.

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VincentPiegsa/stockprediction

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Introduction

This project is about alogrithms in finance, specifically a linear regression algorithm predicting stock prices. Note that this is merely a proof of concept, and that it should not be used for actual stock trading.

Instructions

Execute <run.py> to start the server. Optionally add the -d flag in the console to run in DEBUG-mode. The server is now online at localhost:5000.

Necessary third-Party modules:

The following modules have to be installed separately with pip:

  • flask
  • flask-bcrypt
  • flask-sqlalchemy
  • flas-login
  • numpy
  • pandas
  • pandas_datareader
  • sklearn
  • plotly

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Prediction of stock prices with a basic linear regression algorithm.

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