I'm the founder of Volatility Capture, an independent algorithmic trading research and development project.

My background spans over 20 years in technology, digital product development, data analysis, automation, and building scalable online businesses. I've spent much of my career creating systems, working with large volumes of data, identifying opportunities, and turning ideas into real, functional products.

Trading has been a passion of mine since 2017. Over the past three years, I've dedicated a significant amount of time to studying price behavior, understanding how markets move, and identifying recurring patterns and statistical opportunities.

Combining this passion with my technical and analytical background naturally led me toward algorithmic trading. Today, I use historical market data, systematic research, automation, and AI-assisted development to transform trading ideas into rule-based strategies.

I approach trading the same way I've approached building digital products for over two decades: understand the system, analyze the data, identify what works, test it, and continuously improve it.

I believe a trading strategy should be evaluated beyond its profit curve. Risk exposure, drawdowns, execution costs, and performance across different market conditions matter just as much as returns.

Through Volatility Capture, my goal is to develop transparent, adaptable, and thoroughly tested automated trading systems, with a long-term focus on research, risk management, and continuous improvement.

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