Building systems. Analyzing markets. Finding alpha.
I'm a software engineering student with a deep passion for financial markets and data-driven decision making. I build high-performance applications and quantitative trading systems that bridge the gap between technology and finance.
My analytical mindset allows me to dissect complex problems — whether it's architecting scalable software, backtesting trading strategies, or uncovering hidden patterns in market data.
Expertise
Full-Stack Development
Quantitative Analysis
Data Science & ML
Portfolio
Real-time trading system combining FinBERT NLP sentiment analysis with PPO reinforcement learning. Analyzes 140+ global headlines, generates adaptive signals, and manages risk across EUR/USD and XAU/USD.
High-performance backtesting engine in Python with real-time data feeds, supporting multi-asset strategies and Monte Carlo simulations for robust strategy validation.
Real-time market analytics platform with React, WebSockets, and D3.js visualizations. Aggregates sentiment from news, social media, and order flow data.
Machine learning pipeline that identifies predictive patterns in market data using gradient boosting and LSTM networks. Achieves 62% directional accuracy.
Ultra-low-latency order routing system written in Rust, capable of processing 50,000+ orders/second with smart order routing across multiple venues.
Get In Touch
Open to collaborations, trading discussions, and engineering opportunities.
diya.hussein@example.com