Ilies Zalegh / Profile

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.