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Analyzing Stock and Cryptocurrency Prices using Cyclicity Analysis

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Cyclicity Analysis of Financial Time-Series Data

This repository contains a working implementation of Cyclicity Analysis, which is a pattern recognition technique for analyzing leader follower relationships amongst multiple time-series. We run Cyclicity Analysis on financial time-series pertaining to the stock and cryptocurrency markets.

Downloading Requirements

Importing Project

  • Open PyCharm and select Get from VCS.
  • Enter this project's .git link.
  • Specify the download location to be the location of your PyCharmProjects folder.
  • Download the project.

Installing Project Dependencies Automatically

  • You may be prompted by PyCharm to install a Virtual Environment based on the requirements.txt file.
  • Follow the onscreen instructions to do so.
  • Make sure you specify your installed Python 3 for creating the Virtual Environment.

Installing Project Dependencies Manually

  • Open PyCharm Settings and locate the Project: StockMarketAnalysis pane.
  • Click on Project Interpreter.
  • Add a new VirtualEnv environment with your system Python.
  • Restart PyCharm and open its local Terminal, which is located on the bottom of the PyCharm window.
  • Type the command pip3 install -r requirements.txt in Terminal to install project dependencies.

API Key

Jupyter Server Instructions

  • Open the local Terminal on PyCharm.
  • Type the command jupyter notebook to open up a new Jupyter Server.
  • Click on the CyclicityAnalysisDemo.ipynb file to open the notebook.
  • Run each code cell using the toolbar on top of the window.

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Analyzing Stock and Cryptocurrency Prices using Cyclicity Analysis

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