https://github.com/saisurajmatta/cryptocurrency-market-analyzer-python-project

Cryptocurrency Market Analyzer: Python script utilizing CoinMarketCap API to fetch, analyze, and visualize real-time trends of top 15 cryptocurrencies over different time intervals.
https://github.com/saisurajmatta/cryptocurrency-market-analyzer-python-project

data-analytics data-visualization matplotlib pandas python seaborn

Last synced: 6 months ago
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Cryptocurrency Market Analyzer: Python script utilizing CoinMarketCap API to fetch, analyze, and visualize real-time trends of top 15 cryptocurrencies over different time intervals.

• Host: GitHub
• URL: https://github.com/saisurajmatta/cryptocurrency-market-analyzer-python-project
• Owner: SaiSurajMatta
• Created: 2024-01-13T17:27:29.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-01-13T17:31:18.000Z (over 2 years ago)
• Last Synced: 2025-04-13T13:50:44.449Z (about 1 year ago)
• Topics: data-analytics, data-visualization, matplotlib, pandas, python, seaborn
• Language: Jupyter Notebook
• Homepage:
• Size: 231 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Cryptocurrency Market Analyzer - Python Project

## Overview

This project involves creating a Cryptocurrency Market Analyzer using Python and the CoinMarketCap API. The analyzer fetches real-time data for the top 15 cryptocurrencies in terms of market capitalization and stores it in a DataFrame. The data is then saved to a CSV file for persistence, and trends over time are visualized using Seaborn.

## Project Structure

The project consists of the following components:

1. **Cryptocurrency API Integration:**

   - Utilizes the CoinMarketCap API to retrieve the latest cryptocurrency data.

   - Handles API requests and manages data using Python's requests library and pandas.

2. **Data Persistence:**

   - Saves the fetched data to a CSV file for future analysis.

   - Ensures data persistence for historical trends and further exploration.

3. **Data Analysis:**

   - Utilizes pandas for data manipulation and analysis.

   - Calculates the mean percentage changes for different time intervals (1 hour, 24 hours, 7 days, 30 days, 60 days, 90 days) for each cryptocurrency.

4. **Visualization:**

   - Uses Seaborn and Matplotlib for visualizing percentage change trends.

   - Generates a point plot to display trends over time for each cryptocurrency.

## Instructions for GitHub Readme

### Setup Instructions

1. Clone the repository to your local machine.

2. Install the required libraries

3. Run the script to fetch and analyze cryptocurrency data.

### Understanding the Analyzer

- The script fetches data for the top 15 cryptocurrencies and stores it in a CSV file (`API.csv`).

- The data analysis section calculates the mean percentage changes for different time intervals.

- Visualizations are generated using Seaborn, showing trends over time for each cryptocurrency.

### Note

- Ensure you have a valid CoinMarketCap API key for authentication (replace `'X-CMC_PRO_API_KEY'` with your key in the script).

- Adjust the duration and frequency of API requests based on your preferences.