Collaboration

Mohammad Mahdi Masoumian is available to undertake research and technical projects in areas related to data analysis, systems modeling, and the development of computational methods in financial markets. His work focuses on designing and implementing data‑driven systems for analysis, forecasting, and decision‑making within financial market environments. These activities can be defined in both research settings and applied projects, on‑site or remotely.

Areas of collaboration:

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• Development of algorithmic trading systems and data-driven trading strategies
• Time series modeling and forecasting using statistical and machine learning methods
• Design of financial decision support systems
• Portfolio optimization, risk management, and capital allocation algorithms
• Simulation and performance evaluation of trading systems

Additionally, completed research, scientific publications, and working papers are available in the publications section, while implemented systems and applied projects, including trading algorithms and decision support tools, can be found in the Projects section.

Contact

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Email: mm.masoumian@gmail.com

Telegram: @mahdi_masoumian

Location: Iran – Tehran