Crypto Tracker: Managing Your Cryptocurrency Holdings Made Easy

The Crypto Tracker project is a robust web application designed to help users manage and track their cryptocurrency investments with ease. Built using a modern tech stack—Flask for the back end, React for the front end, and PostgreSQL for data storage—this application leverages real-time data from APIs like CoinGecko and CryptoCompare to provide up-to-date insights into cryptocurrency prices and trends. The goal? Simplify portfolio management and empower users to make informed decisions in the ever-evolving world of crypto.

Real-Time Data Integration

One of the standout features of Crypto Tracker is its ability to fetch live cryptocurrency data through API calls. The back end, built in Python using Flask, efficiently handles asynchronous requests to APIs like CoinGecko, ensuring the front end is always displaying accurate, real-time information.

Here’s a sample of the code that powers this integration:

def fetch_crypto_data(coin_id):
    url = f"https://api.coingecko.com/api/v3/coins/{coin_id}"
    response = requests.get(url)
    if response.status_code == 200:
        return response.json()
    else:
        raise Exception(f"API request failed with status code {response.status_code}")

This concise function fetches detailed information for a specific cryptocurrency, such as its current price, market cap, and historical data, making it the backbone of the application’s data layer.

Front-End React Components for Dynamic Visualization

The front end is built using React, enabling a seamless and interactive user experience. A key feature is the dynamic charts and tables that provide users with a snapshot of their portfolio’s performance.

Here is an example of a reusable React component for displaying portfolio data in a clean and organized way:

const PortfolioTable = ({ holdings }) => {
    return (
        <table>
            <thead>
                <tr>
                    <th>Coin</th>
                    <th>Quantity</th>
                    <th>Current Price</th>
                    <th>Total Value</th>
                </tr>
            </thead>
            <tbody>
                {holdings.map((coin) => (
                    <tr key={coin.id}>
                        <td>{coin.name}</td>
                        <td>{coin.quantity}</td>
                        <td>${coin.currentPrice.toFixed(2)}</td>
                        <td>${(coin.quantity * coin.currentPrice).toFixed(2)}</td>
                    </tr>
                ))}
            </tbody>
        </table>
    );
};

This component demonstrates the modularity and scalability of the front end, making it easy to adapt and extend for additional features in the future.

Dockerized Deployment for Scalability

To ensure the application runs smoothly across different environments, the entire project is Dockerized. This simplifies deployment and ensures that developers can replicate the production environment with minimal setup.

Here’s a snippet of the Dockerfile that defines the application’s environment:

FROM python:3.10
WORKDIR /app
COPY requirements.txt .
RUN pip install -r requirements.txt
COPY . .
CMD ["flask", "run", "--host=0.0.0.0"]

With this setup, the application is packaged into a lightweight container, making it portable and easy to deploy across servers.

This project is not just a tool but a learning experience in integrating multiple technologies into a cohesive, functional system. Feel free to explore the codebase, contribute, or even adapt the project to your needs—because in the fast-paced world of crypto, staying informed is key to staying ahead.

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