Hi, I'm Luca
I am currently working on a dual-degree MSc project in Quantitative Finance with Data Science at Birkbeck, University of London. In parallel, I am completing an MSc in Economics and Finance in Milan, which has allowed me to deepen my knowledge of financial theory and applied analysis.
My professional experience includes internships at Invesco Ltd. (Thesis Project) and FinecoBank (Market Analyst), where I developed hands-on skills in market analysis, portfolio management, and quantitative research.
I am deeply passionate about quantitative finance, portfolio management, and statistical analysis, and I enjoy applying these skills to both academic and practical projects.
In this Portfolio, you will find all my projects, presented from the earliest to the most recent. By clicking on each project, you can explore its details and, for selected projects, even try out the Web App.
Stock Insights: Prediction & Technical Analysis
App Built with Streamlit (Python)
Investment Growth
Calculator
App Built with Streamlit (Python)
SF Bicocca US Alpha Fund
Portfolio Manager
Koi Asset Management
Founder
Bonds Analytics Tool
App Built with Streamlit (Python)
Esotic Options Pricing
In collaboration with Miura Financial Research
Portfolio Return Calculator
App Built with Streamlit (Python)
BSc Thesis - Invesco Asset Management
The role of consumer goods in thematic investment funds: Analysis of the fund 'Invesco Global Consumer Trends’
Options Pricing
App Built with Streamlit (Python)
Options Trading Strategy
App Built with Streamlit (Python)
EUR/PLN Monitor Pro
App Built with Streamlit (Python)
Quantitative Stock Dashboard
App Built with Streamlit (Python)
Financial Econometrics Project
University Assignment with Matlab and Latex
Derivatives Advanced Platform
App Built with Streamlit (Python)
Fixed Income Project
In collaboration with Costantino Forgione
Critical Analysis of the Opening Range Breakout Strategy
From "Can Day Trading Really Be Profitable?" by Zarattini & Aziz
Volatility Surface Analyzer
App Built with Streamlit (Python)
Portfolio Backtester
App Built with Streamlit (Python)
Portfolio Models on S&P's Sectors
In collaboration with Miura Financial Research
Investment Strategy Project
University Assignment with Python and Latex