Analyzing the Effects of Economic Factors on Cryptocurrency

This is a UMBC DATA 603 Group 7 Repository for the Project "Analyzing the Effects of Economic Factors on Cryptocurrency" by William Gu, Sitaram Suhas Chandu and Mariam Isayan

Objectives

• Collect various economic factor data and synchronize the frequencies in a data lake
• Find trends between cryptocurrency prices and the larger economic environment using statistical models
• Implement machine learning (ML) to predict average monthly prices for cryptocurrencies

Data Sources

• FRED database
• Kaggle

Data Analysis Plan

Methods

Easier data visualization:

• Matplotlib, Tableau
  Data handling:
• Fredapi, Pandas, Numpy, Scipy, Scikit-learn
  Model building:
• TensorFlow

Repository Structure

This repository includes notebooks and results for model development and analysis.

Note

The complete content of this repository is not published yet.

├── README.md
├── LICENSE
├── notebooks/
│   ├── data_exploration_and_model_training.ipynb
│   └── visualizations.ipynb
├── results/
│   ├── plots
│   └── predictions
├── model/
│   ├── model.pkl
│   └── config.json
└── data/
    └── processed/