In fifteen years of managing third-party assets Emerge Funds has been generating superior returns compared to traditional investment alternatives. Emerge Funds was created by a cross-discipline team of professionals coming from scientific and engineering backgrounds. The overall purpose of this group was to use new and better tools than the traditional ones being used by investment managers.

Using the scientific method we have written algorithms by which we can implement predictive models applicable to the financial markets. The models draw on mathematical modeling, genetic computer science, statistics and probability, physics, robotics, mechanical and electronic engineering.

These predictive models, when applied to the financial markets allow us to detect repetitive patterns in the movements of various assets and asset classes including a predictive quality for establishing entry and exit points. We feel we have a scientifically verificable advantage.

A particular advantage of our system is that it affords coverage of financial vehicles that far out weights the choices provided by traditional investment funds.

Our investment fund in combination with our broad experience in personal financial planning will help you achieve your personal goals as your investment in Emerge Funds grows.


Ivan Scherman – Head Portfolio Manager

PhD. Ivan Scherman is a Chartered Market Technician (CMT), the premier designation of professionalism in the field of technical analysis. He also has certification by the International Federation of Technical Analysis as a Certified Financial Technician (CFTe). PhD. Scherman has completed the Strategic Investment Management Program at the London Business School and also the program in Advanced Risk and Portfolio Management offered at ARPM Lab together with, Stern School of Business, NYU. PhD. Scherman is registered with the S.E.C. He is classified as a Large Trader.

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He completed a Financial Engineering MBA and is a Business and Economics Lawyer. He is a proud member of the following stock market institutions: The Chartered Market Technician Association, the International Federation of Technical Analysis (IFTA) and the American Association of Individual Investors (AAII).


Alexander Treutel – Quantitative Data Scientist Researcher

Alexander Treutel is an Electronic Engineer from the UTN. He is a Quantitative Data Science Researcher and is in charge of Big Data in financial data series (stocks), designing and programming trading systems through artificial intelligence applications. He has a specialization in Machine Learning (Stanford University, USA) as well as in neural networks in Machine Learning (Toronto University, Canada). In addition, he has a background in nanotechnology (Technische Universität Dresden, Germany).


Ryan Lee – Quantitative Trading Analyst

Ryan Lee has a Bachelor degree and is a Quantitative and Automated Trading Strategist. He programs using different stock-market related computer languages. He has a background in ETF Trading (NYSE), as well as a Masters in International Economics (UB).


Victorio Giusti – Portfolio and Risk Analyst

Victorio Giusti is a Magister Scientist in Agricultural Economics.


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