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I am an experienced Data Scientist and active trader, specialized in the development of high-performance, intelligent trading robots. Driven by a passion for the intersection between financial data, advanced statistics, and cutting-edge technology, I have dedicated my career to building trading systems that adapt to the markets with precision, logic, and consistency.
With a strong academic background in data analysis and extensive expertise in statistical modeling, I began my journey working on complex algorithmic optimization and automation projects. Over time, I directed this expertise toward algorithmic trading, designing systems capable of exploiting market inefficiencies with scientific rigor.
My approach is built on three core pillars:
Deep quantitative analysis of historical data to uncover hidden market dynamics.
Development of robust automated systems that operate with discipline and consistency, eliminating emotional bias from trading decisions.
Continuous optimization, using advanced statistical methods, intelligent filters, and rigorous testing to ensure sustainable performance over time.
I have designed and refined multiple algorithmic strategies that accurately identify the most profitable trading periods, avoid high-risk zones, and optimize capital management. My systems incorporate seasonal analysis, adaptive filters, and modern statistical models to deliver highly precise decision-making capabilities.
As a developer of Expert Advisors (EAs) and custom trading solutions, I take pride in creating tools that are:
Stable, extensively tested on years of historical data;
Intelligent, capable of adapting to monthly and structural market variations;
Accessible, allowing traders of all levels to benefit from advanced technology.
Today, I combine my Data Science expertise, real trading experience, and passion for quantitative research to build powerful, precise, and performance-driven trading robots.
My mission is clear: turn data into actionable, profitable, and sustainable trading strategies.
With a strong academic background in data analysis and extensive expertise in statistical modeling, I began my journey working on complex algorithmic optimization and automation projects. Over time, I directed this expertise toward algorithmic trading, designing systems capable of exploiting market inefficiencies with scientific rigor.
My approach is built on three core pillars:
Deep quantitative analysis of historical data to uncover hidden market dynamics.
Development of robust automated systems that operate with discipline and consistency, eliminating emotional bias from trading decisions.
Continuous optimization, using advanced statistical methods, intelligent filters, and rigorous testing to ensure sustainable performance over time.
I have designed and refined multiple algorithmic strategies that accurately identify the most profitable trading periods, avoid high-risk zones, and optimize capital management. My systems incorporate seasonal analysis, adaptive filters, and modern statistical models to deliver highly precise decision-making capabilities.
As a developer of Expert Advisors (EAs) and custom trading solutions, I take pride in creating tools that are:
Stable, extensively tested on years of historical data;
Intelligent, capable of adapting to monthly and structural market variations;
Accessible, allowing traders of all levels to benefit from advanced technology.
Today, I combine my Data Science expertise, real trading experience, and passion for quantitative research to build powerful, precise, and performance-driven trading robots.
My mission is clear: turn data into actionable, profitable, and sustainable trading strategies.