Active on eToro

Engineer. Economist.
Elite Investor.

I combine quantitative models with machine learning to find high-quality growth companies. 16 years of investing experience, 11 years as a Pro Investor on eToro.

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16
Years Investing
11+
Years as PI
13+
Years on eToro
Elite
PI Status
2x
Dual Degree

My Story

From childhood curiosity about technology and economics to building quantitative models that guide my investment decisions today.

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Academic Foundation

I earned dual degrees — a Bachelor's in Economics and Systems Engineering from the National University of the Center of the Province of Buenos Aires (UNICEN). This unique combination taught me to see markets through both analytical and technical lenses.

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The Technical Edge

I started programming in 2005, building software before I even began investing. That technical foundation became my edge — today I use data mining and machine learning to analyze companies in ways traditional investors can't.

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My Investment Journey

2010

Started Investing

Began my journey in the markets with a focus on understanding company fundamentals and growth potential.

2013

Discovered eToro

Found a platform that aligned with my investment philosophy and allowed me to share my strategy with others.

2015

Became Pro Investor

Just 2 years after joining, I qualified as a Pro Investor — starting my journey of managing capital for copiers.

2026

Elite Status & Advanced Certification

Now an Elite Pro Investor with Level 4 certification in Advanced Investment Management. Over a decade of proven track record in growth investing.

My Strategy

Long-term growth investing powered by quantitative models and qualitative research. I focus on high-quality technology companies with strong fundamentals.

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Investment Approach

I'm a long-term investor in stocks, with a particular focus on growth and quality in the technology sector. I only invest in companies I believe will grow AND maintain a solid financial position.

  • Strong cash reserves and low debt (financial health first)
  • Proven revenue growth and market share expansion
  • Already profitable or clear path to profitability
  • Innovative products and strong competitive moats
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Quantitative Models

I create probabilistic models to estimate intrinsic value and project growth rates across multiple time horizons — next quarter, 1 year, 3 years, and 5 years out.

  • Valuation models based on discounted cash flow
  • Growth rate projections using historical patterns
  • Risk-adjusted return calculations
  • Portfolio optimization and position sizing

My Edge

I use data mining and machine learning to collect and categorize information that traditional analysts miss. This is where my engineering background meets my investment strategy.

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Alternative Data

Consumer sentiment, job searches, talent retention, employee satisfaction — signals that predict company performance before it shows in earnings.

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Innovation Tracking

I follow tech blogs, conferences, and open source projects daily. I analyze community sentiment about new technologies and track adoption rates.

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Sentiment Analysis

Using natural language processing to gauge how developers, researchers, and users feel about companies and their products.

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Biotech Intelligence

For biotech positions, I track researcher and scientist retention rates — talent staying signals confidence in the pipeline.

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Physical Indicators

Real estate activity near headquarters, traffic patterns, hiring velocity — on-the-ground data that complements financial metrics.

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Machine Learning

Automated data collection, pattern recognition, and anomaly detection across thousands of data points that humans can't process manually.

My Philosophy

Long-term compounding beats short-term trading. High-quality growth companies recover first from corrections and deliver superior returns over time.

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Quality Growth Over Value Plays

I've learned that growth companies are the most volatile during market corrections — but they're also the first to recover. As long as companies continue growing their revenue, sales, and market share, they will eventually overcome any correction.

The 2026 Context: We're living through an AI revolution that's fundamentally reshaping technology and business. After the rate-hike cycle, high-quality tech companies with strong cash positions are now better valued than they were during the pandemic bubble. This is an opportunity.

My Core Belief: Short-term corrections make great companies cheaper. If the fundamentals remain intact — growing revenue, expanding market share, solid balance sheet — volatility is your friend, not your enemy.

✅ What I Look For

  • Revenue growth and market share expansion
  • Strong cash reserves (2+ years runway)
  • Low debt-to-equity ratios
  • Profitable or clear path to profitability
  • Innovation and technological leadership
  • High employee and researcher retention

❌ What I Avoid

  • Companies burning cash with no path to profit
  • High debt levels relative to earnings
  • Shrinking market share or declining revenue
  • Lack of innovation or competitive advantage
  • Regulatory risks or legal uncertainties
  • Companies I don't understand technically

Ready to Follow My Strategy?

View my current portfolio, track record, and investment decisions on eToro. Copy my trades or simply follow along to see how data-driven growth investing works in practice.

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