Alexandre Catarino
Quant Developer at QuantConnect
Braga, Portugal
Summary
🤩
Rockstar🎓
Top SchoolAlexandre Catarino is a Quant Developer with 11 years of experience building algorithmic trading systems and developer-facing tooling from Braga, Portugal. At QuantConnect he contributes to the LEAN engine and crafts example algorithms and tutorials that help users implement scientific-paper strategies and reliably access historical data. His background in meteorology (PhD candidate at Université Pierre et Marie Curie and a bachelor’s in Atmospheric Sciences) and service as a weather forecaster officer bring a quantitative, physics-informed approach to modeling and risk. Previously he developed automated trading and arbitrage strategies in the investment industry and ran his own venture, giving him both practitioner and entrepreneurial perspectives. An active open-source contributor, he focuses on improving documentation and tutorial quality for a widely used platform, bridging research-grade methods and practical developer guidance.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (PhD) candidate, Meteorology, Doctor of Philosophy (PhD) candidate, Meteorology at Université Pierre et Marie Curie (Paris VI)Bachelor's degree, Atmospheric Sciences and Meteorology, Bachelor's degree, Atmospheric Sciences and Meteorology at Universidade de Lisboa
Portuguese, English, French
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (17)
algorithm10
algorithms10
develop10
python10
technical-writing10
finance10
backtesting10
strategy-pattern10
backtest10
quantconnect10
api-documentation10
statistical-models10
modeling10
data-analysis9
refactoring8
Programming languages (6)
Github contributions (5)
QuantConnect/Tutorials
Jul 2019 - May 2022
Jupyter notebook tutorials from QuantConnect website for Python, Finance and LEAN.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:11 reviews, 62 commits, 46 PRs in 2 years 10 months
Contributions summary:Alexandre primarily contributed to the QuantConnect tutorial repository by fixing and refactoring algorithm logic within financial strategy tutorials. They addressed issues in universe selection functions, refactored algorithms to improve performance and reliability, and corrected logic errors. The user also updated documentation and examples to reflect code changes and provide better clarity on the implemented strategies.
jupyter-notebookpythonquantconnect
QuantConnect/Documentation
Sep 2017 - Jan 2023
QuantConnect Wiki Style Documentation Behind QuantConnect
Role in this project:Technical Writer
Technical WriterContributions:146 reviews, 366 commits, 417 PRs in 5 years 5 months
Contributions summary:Alexandre primarily contributed to the QuantConnect documentation repository. The contributions focused on adding examples and clarifying the use of historical data and custom models within the context of QuantConnect's trading platform. The commits reflect updates to the documentation to reflect API changes, adding new information about features, and improving code snippets. The user's work is focused on providing clear and concise documentation of the platform's functionality, particularly concerning API usage for accessing historical data.
quantconnect
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