💱 Professional Currency Converter

A modern, desktop-based Currency Converter built with Python, PyQt5, and Matplotlib. This app provides real-time exchange rates via the ExchangeRate-API and visualizes currency trends with dynamic charts.

✨ Features

• Real-Time Data: Fetches the latest exchange rates for over 160+ currencies using REST API.
• Interactive Charting: Displays a 7-day trend line using Matplotlib to visualize currency volatility.
• Smart History: Automatically logs your recent conversions for quick reference.
• Earthy UI Design: A custom-styled interface using CSS (QSS) for a modern look and feel.
• Currency Swap: A one-click button to invert your "From" and "To" selections.

🚀 Installation

1. Clone the repository:

   git clone [https://github.com/ali-faraz-py/Python-CurrencyConverter.git](https://github.com/ali-faraz-py/Python-CurrencyConverter.git)
   cd CurrencyConverter
   
   

Install dependencies:

pip install -r requirements.txt

📂 Project Structure

CurrencyConverter/
├── CurrencyConverter.py     
├── CurrencyConverter.css   
├── requirements.txt      
└── README.md    

🛠️ Built With

PyQt5 - For the desktop window and widgets.

Requests - To handle API calls to the exchange rate server.

Matplotlib - To render the 7-day trend graphs.

ExchangeRate-API - The source for real-time global currency data.

🧠 Behind the Logic: The Random Walk

Because historical data often requires a paid API subscription, I implemented a Random Walk Algorithm to simulate market movement:

The Seed: The logic starts with the real-time rate fetched from the API.

The Simulation: It calculates 7 days of data by applying a random variance (up to ±2%) to each previous day's rate.

The Anchor: To ensure accuracy, the final data point is always locked to the actual current rate.

👤 Author

Syed Ali Faraz - https://github.com/ali-faraz-py

If this project helped you understand PyQt5 or Matplotlib, please give it a ⭐!