Stock Span Visualizer

The project is a desktop application for financial analysis, built using Python, PyQt5, and Matplotlib. It allows users to calculate and visualize stock spans using an efficient stack-based algorithm for technical analysis and trend identification.

Type of Work

Desktop Application Development: The project involves creating a GUI-based application with interactive visualizations and real-time data processing.

Algorithm Implementation: Includes developing an efficient O(n) stack-based algorithm for stock span calculation.

Data Visualization: Designing interactive charts and graphs using Matplotlib for financial data analysis.

API Integration: Implementing real-time stock data fetching from Alpha Vantage API

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Features

Multiple Data Input Methods: Manual entry, file import, and real-time API data fetching.

Interactive Visualizations: Line charts, bar charts, and combined visualizations with navigation toolbar.

Efficient Algorithm: Stack-based implementation that reduces time complexity from O(n²) to O(n).

Professional UI: Modern PyQt5 interface with responsive layout and data table display.

Error Handling: Comprehensive validation and user feedback for all operations

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Way It Is Carried Out

Frontend: PyQt5 files (main_window.py, input_selection.py) handle user interface, input forms, and display components.

Backend: Python classes (stock_logic.py, api_client.py) process stock data, implement the stack algorithm, and handle API communications.

Data Processing: Custom Stack class calculates spans efficiently, while Matplotlib generates interactive visualizations.

Configuration: API credentials stored in api_client.py, with support for multiple data sources and formats.

Deployment: The ap