Ivo Petiz is a Sports Quantitative Developer based in Portugal with eight years of professional experience building data-driven systems for betting and trading. He combines a strong research background in network security and social media analytics with hands-on engineering from a long senior software role at FABAMAQ to his current quant role at Amelco. Ivo architects and implements back-end trading and strategy components—evidenced by his open-source algotrading framework for cryptocurrencies where he developed core bot functionality like trailing and stop-loss mechanisms. He holds a Master's in Computer Science and additional certifications in networking and pedagogy, reflecting both technical depth and an ability to communicate complex topics. Notably, his career blends anomaly-detection research and real-time pipeline engineering with practical quant strategy delivery, making him adept at turning noisy signals into robust, production-ready systems.
8 years of coding experience
13 years of employment as a software developer
CCNA Routing and Switching, CCNA Routing and Switching at Cisco Networking Academy
Pedagogical Aptitude training course - IEFP certified trainer (CAP) Education, Pedagogical Aptitude training course - IEFP certified trainer (CAP) Education at Paço na Formação
Master's degree Computer Science, Master's degree Computer Science at Universidade de Aveiro
Electronics Technician Level 3 Electrical and Electronics, Electronics Technician Level 3 Electrical and Electronics at Escola Secundária Dr. Serafim Leite
Algorithmic trading framework for cryptocurrencies.
Role in this project:
Back-end Developer
Contributions:196 commits, 17 PRs, 176 pushes in 4 years 1 month
Contributions summary:Ivo appears to be focused on developing the core functionality of an algorithmic trading framework for cryptocurrencies. Their initial commit established the foundation for the project. Subsequent commits demonstrate a focus on implementing core components and improving the bot's functionality with features like trailing and stop-loss mechanisms, suggesting a focus on strategy implementation. The user is actively working on improving the system with bug fixes.
Finance package written in Golang, mainly with TA indicators.
Contributions:21 commits, 3 PRs, 15 pushes in 1 year 1 month
golangcryptocurrencyindicatorsplaidfinance
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