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Machine learning tools and techniques for analyzing stock market

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Machine Learning for Stock Market

Machine learning tools and techniques for analyzing stock market.

This project contains tools and techniques to analyze the stock mark. It is divided into following sctions:

  • Enviornment Setup
  • Retrieving trading data from quandl
  • Forming the Cluster
  • Cluster Analysis

Enviornment Setup

You need following to setup the enviornment:

  • python version 3.4 or above
  • pip must be installed

Create virtual vnv

Install the virtual env and activate it.

/bin/python36 -m venv venv
source venv/bin/activate

Clone the repo and install packages

cd venv
git clone https://github.com/psaini79/machine-learning-stock-market.git
pip install -r requirements.txt

The requirement.txt installs following modules:

  • pandas
  • quandl
  • numpy
  • jupyter notebook
  • matplotlib

Retrieving trading data from quandl

  • To open the file in jupyter notebook, type following on your vnc or any gnome desktop: jupyter notebook
  • Load the file into jupyter and run it.

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