I build systems — not predictions.
Independent Portfolio Manager & Algorithmic Trading Systems Developer. Multi-asset operations where discipline beats emotion — every single day.
I'm an independent trader and Portfolio Manager operating across multi-asset markets: Equity, Global Indices, Cryptocurrency, Commodities and Fixed Income. My work is to build systems — not to forecast.
A dual background in Computer Engineering and Business Economics is no coincidence: it lets me combine mathematical rigour, algorithmic thinking and strategic financial vision into an approach that is genuinely difficult to replicate.
Every strategy is born from rigorous backtesting, statistical optimisation and uncompromising risk control. Automation isn't a competitive edge — it's an operational necessity.
Three disciplines, one framework. Each strategy is engineered, validated on years of data, and governed by mathematical risk control.
Diversified multi-asset portfolios across Equity, Commodities, Fixed Income and Digital Assets. Dynamic rebalancing driven by macro scenarios and inter-asset correlations, with a constant focus on capital preservation.
Autonomous multi-strategy bots running 24/7 across Crypto and Equity markets. Custom indicators and systematic strategies backtested over years of historical data to optimise entries and exits — and remove emotional bias.
Surgical, mathematical risk control: position sizing based on real volatility, stops calibrated to market structure — never arbitrary — and exposure kept under continuous quantitative control.
The same language, expressed four ways. This is how an engineer's rigour becomes a trader's edge.
Geometric Brownian motion — the foundation of quantitative pricing and the language beneath every model.
Price action translated into code: candlesticks read by systematic logic, executed without emotion.
Multi-layer signal flows — the architecture that turns data into validated, governed decisions.
Volatility surfaces mapped and monitored — because managing risk begins with measuring it precisely.
S&P 500NASDAQ 100DAXFTSE MIBDow JonesBTCETHAltcoinsDeFi InfrastructureGrowthValueSwing TradingDurationYield CurvesDefensive AllocationWTIBrentGoldSilverCopperAgricultural & SoftAn institutional-grade adaptive quantitative framework engineered for the XAUUSD market. Built on a multi-layer architecture — execution, risk, persistence, recovery and statistical adaptation — designed to evolve incrementally through empirical, data-driven phases rather than fixed rule sets.
Independent management of multi-asset portfolios with a focus on risk-adjusted performance, operational automation and mathematical control of exposure — across Equity, Commodities, Fixed Income and Digital Assets.
Project BLEforGreen — predictive monitoring of high-trunk trees via Bluetooth (BLE) devices. Coordinated field operations, data digitalisation, GIS geolocation and aerial photogrammetry across 8 sites and 114 monitored trees.
University of Campania
"Luigi Vanvitelli" — Computer Science
Università Telematica Pegaso
Corporate Finance & Markets
Liceo Scientifico "E. Fermi"
Applied Sciences
Let's talk about automation, risk-driven portfolio management, or building something durable together.