High-Performance Financial Engineering & Analytics Framework

Flux-RX is an advanced, institutional-grade Python framework designed for rapid financial data analysis, portfolio optimization, and beautifully rendered interactive dashboards. Replacing disjointed scripts with a cohesive system, Flux-RX implements strict typing, rigorous error handling, and a sophisticated terminal UI.

• Robust Data Ingestion: High-speed, cached acquisition of market data and metadata via Yahoo Finance.
• Deep Analytics Engine: Compute comprehensive metrics including CAGR, Volatility, Sharpe Ratio, Maximum Drawdown, Value at Risk (VaR), Conditional VaR, Information Ratio, Tracking Error, Hurst Exponent, and Z-Scores.
• Terminal Interface: A best-in-class CLI built on rich that renders stunning, color-coded tables for metrics, screening, and optimization natively in the console.
• Dynamic Dashboard: A fully responsive, sidebar-navigation local web application (dash-bootstrap-components) for profound visual analysis.
• Hyper-Professional Layouts: Native support for "Obsidian", "Terminal", "Monochrome", and "Light Pro" themes. Strictly adhering to institutional aesthetics (no emojis, no purple elements).
• Portfolio Architecture: Conduct Modern Portfolio Theory (MPT) optimization targeting Maximum Sharpe, Minimum Volatility, or Maximum Return.

Ensure you have Python 3.10+ installed.

# Clone the repository
git clone https://github.com/your-org/flux-rx.git
cd flux-rx

# Install via setup.py (or pip)
pip install -e .

Note: For development capabilities (like mypy and pytest), install with pip install -e .[dev].

The flux-rx command serves as your entry point to all operations.

Extract fundamental metrics and calculate ratios instantly.

flux-rx metrics AAPL --period 5y

Compare, rank, and evaluate multiple assets simultaneously.

flux-rx screen AAPL MSFT GOOGL NVDA TSLA --sort sharpe_ratio

Calculate the optimal weightings for a basket of assets.

flux-rx optimize AAPL MSFT GOOGL --objective sharpe

Generate a sleek static HTML report or export raw data to your preferred format.

# Generate interactive HTML report
flux-rx report AAPL --period max --theme obsidian

# Export to CSV/JSON/Excel
flux-rx export AAPL --format csv --path my_data.csv

Launch the heavy-duty analytical terminal in your browser.

flux-rx dashboard --port 8050

Flux-RX v2.0 introduces several architectural upgrades:

• flux_rx.exceptions: A custom exception hierarchy (FluxDataError, FluxComputeError, etc.) ensuring graceful failure states without arbitrary Python stack traces.
• flux_rx.logger: Structured, console-agnostic logging powered by rich, replacing arbitrary print statements.
• flux_rx.analytics: Hardened numerical methods with explicit input validation on raw price vectors.

MIT License. See LICENSE for details.