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With a solid background in applied research, algorithmic trading, and systems engineering, I specialize in the development and deployment of high-performance, data-driven strategies across various financial markets, including foreign exchange, equity indices, and digital assets.
My work spans the full trading lifecycle : research, backtesting, execution, and monitoring across high-frequency trading (HFT), financial machine learning (FinML), and multi-asset portfolio strategies.
These systems are built to deliver consistent returns within the framework of a disciplined, moderate-risk
approach.
Driven by innovation and competitive rigor, my work is anchored in transparency, integrity, and continuous refinement. I place strong emphasis on robust methodologies and reliable processes that meet industry standards, as illustrated by the development and public distribution of Expert Advisors on the MQL5 marketplace.
My activity is structured around three core pillars:
● Research & Consulting
I provide specialized research and consulting services in quantitative trading, with a focus on alpha generation, signal processing, and advanced statistical methods. My work supports institutions and individuals in building and refining trading strategies.
● Market Operations
From strategic design to deployment and risk supervision, I have built a comprehensive and automated trading ecosystem. This includes the implementation of real-time execution engines, performance analytics, and adaptive trade management tools.
● Knowledge & Education
I maintain an organized and evolving knowledge base to support long-term innovation, enabling scalable system development and resilience. I actively integrate cutting-edge research and emerging technologies to maintain market adaptability and competitive edge.
Notably, in collaboration with leading research teams, I designed and implemented a classification algorithm for cryptocurrency trading, achieving strong performance in highly volatile environments.
My expertise encompasses:
● Alpha signal design and filtering
● Feature engineering across multiple time horizons
● Robust model evaluation and deployment pipelines
I remain open to strategic partnerships, institutional collaboration, and bespoke development
engagements.
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https://medium.com/@camille.tronel/a-quantum-inspired-model-for-market-levels-in-trading-bdfaaaee6501 " Quantum Mechanics, the cornerstone of modern physics, has proven incredibly effective at modeling uncertainty, probability, and state transitions at microscopic scales. While applying it to financial markets remains controversial, there are striking conceptual parallels — especially around the probabilistic nature of price movement. This article presents a simple yet smart trading model
Introducing MLTA by Vertice – A Cutting-Edge Trading Solution At Vertice , we firmly believe that data-driven insights can significantly enhance trading performance. MLTA (Machine Learning Technical Analysis) is our fully automated trading strategy, designed to streamline decision-making and optimize trade execution with precision. How It Works MLTA leverages advanced computational techniques to identify the most optimal trading channel within a specified time horizon T . This channel is