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Analyzing the Crypto market using sentiment analysis of social media (Twitter)

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Overview

Crypto Analyzer is a project designed to analyze cryptocurrency data. This project utilizes various data science techniques to provide insights into cryptocurrency trends and patterns. The analysis is implemented in a Jupyter notebook using Python.

Features

  • Data collection from cryptocurrency APIs
  • Data preprocessing and cleaning
  • Visualization of cryptocurrency trends
  • Statistical analysis and modeling

Technologies

  • Python
  • Jupyter Notebook
  • Pandas
  • Matplotlib
  • Seaborn
  • Requests

Installation

  1. Clone the repository: git clone https://github.com/acekavi/crypto-analyzer.git cd crypto-analyzer

  2. Create and activate a virtual environment: python -m venv env source env/bin/activate

  3. Install dependencies: pip install -r requirements.txt

Usage

Running the Analysis

Open the Jupyter notebook: jupyter notebook crypto-analyzer.ipynb

Follow the instructions in the notebook to run the analysis.

File Structure

  • crypto-analyzer.ipynb: Jupyter notebook containing the cryptocurrency analysis.
  • requirements.txt: List of dependencies.
  • README.md: This file.
  • CONTRIBUTING.md: Guidelines for contributing to the project.
  • LICENSE.md: License information.

Contributing

Please read CONTRIBUTING.md for details on our code of conduct and the process for submitting pull requests.

License

This project is licensed under the MIT License - see the LICENSE.md file for details.

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Analyzing the Crypto market using sentiment analysis of social media (Twitter)

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