Quentier Marc / 프로필
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Algorithmic Trading developer
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Freelance
Background & Expertise
With over 35 years of experience in Switzerland and France, my professional background is deeply rooted in banking and consulting. In Switzerland, my focus was exclusively on finance (Banking and Insurance). I have a strong background in Product Management, Marketing Research, Geomarketing, and Big Data Analysis. In France, my focus was on consulting: I advised both European public bodies and private organizations on accessing European funding instruments and preparing project proposals for EU grants. Additionally, I shared this expertise by teaching EU-funded project management to Master 2 students at the University of Strasbourg (ITIRI).
The Tech Transition
Moving to Asia led me to transition into software engineering. I spent several years working as a full-stack developer, building complex enterprise applications ranging from production management systems for commercial bakery laboratories to client onboarding workflows in asset management. By combining this software engineering foundation with my financial background, I subsequently mastered Python, Pine Script, and MQL5 to develop high-performance quantitative trading architectures.
The EdgityCore Framework
I am the creator of EdgityCore, a proprietary MQL5 development framework. This system dramatically accelerates the development lifecycle, allowing me to rapidly transform quantitative trading concepts into highly optimized indicators, multi-symbol scanners, and automated Expert Advisors (EAs).
Trading Philosophy
My journey has involved an in-depth study of diverse market methodologies, including Price Action, Trend and Breakout Trading, Scalping, Smart Money Concepts (SMC/ICT), and numerous other theories and strategies. It has also involved developing numerous indicators and EAs to gain a strong understanding of the Pine Script and MQL5 architectures and languages. Today, my focus is entirely on quantitative trading. By relying strictly on systematic, data-driven algorithms, I eliminate human emotion from the decision-making process and allow quantitative models to drive the results.
With over 35 years of experience in Switzerland and France, my professional background is deeply rooted in banking and consulting. In Switzerland, my focus was exclusively on finance (Banking and Insurance). I have a strong background in Product Management, Marketing Research, Geomarketing, and Big Data Analysis. In France, my focus was on consulting: I advised both European public bodies and private organizations on accessing European funding instruments and preparing project proposals for EU grants. Additionally, I shared this expertise by teaching EU-funded project management to Master 2 students at the University of Strasbourg (ITIRI).
The Tech Transition
Moving to Asia led me to transition into software engineering. I spent several years working as a full-stack developer, building complex enterprise applications ranging from production management systems for commercial bakery laboratories to client onboarding workflows in asset management. By combining this software engineering foundation with my financial background, I subsequently mastered Python, Pine Script, and MQL5 to develop high-performance quantitative trading architectures.
The EdgityCore Framework
I am the creator of EdgityCore, a proprietary MQL5 development framework. This system dramatically accelerates the development lifecycle, allowing me to rapidly transform quantitative trading concepts into highly optimized indicators, multi-symbol scanners, and automated Expert Advisors (EAs).
Trading Philosophy
My journey has involved an in-depth study of diverse market methodologies, including Price Action, Trend and Breakout Trading, Scalping, Smart Money Concepts (SMC/ICT), and numerous other theories and strategies. It has also involved developing numerous indicators and EAs to gain a strong understanding of the Pine Script and MQL5 architectures and languages. Today, my focus is entirely on quantitative trading. By relying strictly on systematic, data-driven algorithms, I eliminate human emotion from the decision-making process and allow quantitative models to drive the results.
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