Overview

Bradley Quant is a financial analysis engine spanning classical finance, quantitative finance, personal financial planning, corporate valuation, real estate investment analysis, and live stock market research, all built on one shared calculation engine and one shared visualization system.

What makes this different

Most student finance projects stop at a spreadsheet or a single Jupyter notebook. Bradley Quant is built as real software: a tested Python calculation layer, a from-scratch visualization engine spanning roughly twenty distinct chart types, an interactive terminal CLI, a full Streamlit dashboard, and an AI assistant wired directly to the underlying calculators through tool use.

The classical versus quantum comparison

At the center of the Quant Finance section sits a genuine side-by-side comparison. Portfolio optimization and option pricing are each solved using both a traditional method (Markowitz mean-variance optimization, Black-Scholes and Monte Carlo simulation) and a quantum computing method (QAOA, quantum amplitude estimation), so the actual differences between the two approaches are visible in the output rather than simply asserted in a paragraph.

Who this is for

This project was built as a portfolio piece for quantitative and financial software roles, demonstrating the same pipeline used in real quant development and fintech work: formulas, tested code, a real interface, and a real deployment.

See Visualizations for what the engine can produce, or Installation to run it yourself.