I am a theoretical physicist and quantitative resarcher-analyst specialized in building trading strategies and derivatives pricing models. My background is in theoretical physics, which shifted into financial engineering/quantitative finance through study at UniMi and Polimi.
This repository runs my personal portfolio website, where I compile technical notes and showcase active projects.
🔗 Live Site: riccardo-martelli.github.io
- Interactive Web Layout: Built with native HTML5 canvases and custom blending layers for clear visualization.
- Math & Physics Notes: A running notebook mapping out complex analysis, stochastic processes, and machine learning concepts.
- Coursework Ledger: A granular index of curriculum topics covered during seven years of university-level tutoring.
- Development: Python, C++, C, MATLAB, R, SQL, Bash
- Financial Models: Stochastic Calculus, Interest Rate Modeling, Portfolio Optimization (Markowitz, Black-Litterman)
- AI/Computation: TensorFlow, Keras, Scikit-learn
- Frontend/Typesetting: HTML5, CSS3, JavaScript, LaTeX (Beamer)
The landing page acts as an index for these specific engineering projects:
- Sentiment Prediction: An attention-based LSTM-CNN network architecture designed to scrape Google RSS/Reddit feeds and evaluate text sentiment against stock return metrics.
- Numerical Simulations: Production scripts executing option pricing through Monte Carlo methods, Metropolis algorithms, simulated annealing, and genetic algorithms.
- Asset Management Work: A comparative financial framework mapping multi-asset allocation constraints using Markowitz, CAPM, and Black-Litterman models.
- NovaBeamer Theme: A clean LaTeX presentation template optimized for academic and scientific data display.
Academic papers and quantitative research pieces integrated into this profile:
- Black Holes in a Swirling Universe — Published in Physical Review D.
- The Action of the Axisymmetric and Stationary Symmetry Group of General Relativity on a Static Black Hole — Core general relativity research.
- Entropy-Based Allocation & Macro Scenarios — Hosted on SSRN.
- Charged Black hole solutions in general relativity from inverse scattering — General relativity solutions generated via the inverse scattering method.
- Professional Network: LinkedIn Profile
- Email: Gmail
- Source Updates: Changes and strategy updates are regularly logged directly to the repository index.