About
About Gottesman Investments
A data-driven investment firm combining quantitative methodology with decades of financial expertise
Background
Gottesman Investments was founded on the principle that disciplined, quantitative analysis can consistently identify superior investment opportunities. With over 30 years of experience in financial markets, we have developed and refined proprietary models that analyze market data across multiple asset classes and geographies.
Our founder holds an MBA from Tel Aviv University and has managed portfolios across equities, fixed income, derivatives, and venture capital investments. This broad expertise allows us to take a holistic view of the investment landscape and construct portfolios that are robust across market cycles.
Areas of Expertise
Quantitative Research
Development and refinement of proprietary algorithmic models using statistical analysis, machine learning, and historical market data to identify patterns and opportunities.
Risk Management
Rigorous portfolio construction with systematic risk controls including position sizing, correlation analysis, drawdown limits, and stress testing across market scenarios.
Public Market Investing
Active management across global equities and fixed income markets, focusing on data-driven security selection and tactical asset allocation.
Venture Capital
Early-stage investment in technology and fintech companies, leveraging deep market knowledge to evaluate business models, teams, and growth potential.
Investment Philosophy
We believe that superior investment returns are achieved through disciplined application of quantitative methods, rigorous risk management, and unwavering focus on fundamentals. Markets are not perfectly efficient — systematic analysis of data can identify recurring patterns and mispricings that generate consistent alpha over time.
Our process is transparent, repeatable, and grounded in evidence. We constantly refine our models with new data, adapt to changing market conditions, and maintain strict discipline even when short-term results deviate from expectations.