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Declined by Pythoncoder 29 days ago. Last edited by EarwigBot 24 days ago.

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Ivan Scherman

Ivan Scherman
Ivan Scherman
Born	July 2, 1977 (age 48); Buenos Aires, Argentina
Education	•PhD in Financial Engineering & Risk Management. • Master MBA in portfolio management from NYU Stern School of Business (ARPM Lab). • Master in Risk Management from London Business School. • Master in Quantitative Algorithmic Trading Modeling from Polytechnic University of Madrid. • Data Scientist from Universidad Interamericana. He also holds professional certifications as a Chartered Market Technician (CMT) and Certified Financial Technician (CFTe), and is a member of IFTA and AAII . Scherman has developed over 200 quantitative trading systems.
Occupation(s)	Hedge fund manager, investor, mathematician,
Known for	Winning the Trading World cup of 2023, Founding and managing SciTech/Emerge funds
Awards	Rankia Award, world cup trading 2023
Website	sci.tech

Ivan Scherman is an Argentinian professional trader, financial expert, and the CEO & CIO of SciTech Investments, formerly known as Emerge Funds. He is recognized for his achievements in algorithmic trading, particularly winning the 2023 World Cup Championship of Futures Trading®.

Early Life and Education

Scherman, 48 years old as of 2025, initially pursued a career in law. His interest in financial markets was sparked during a university course on stock market operations, taught by the then-president of the Buenos Aires Stock Exchange. He later transitioned into finance, accumulating over 27 years of experience in the field.

His extensive academic background includes:

• PhD in Financial Engineering & Risk Management.

• Master MBA in portfolio management from NYU's Stern School of Business (ARPM Lab).

• Master in Risk Management from London Business School.

• Master in Quantitative Algorithmic Trading Modeling from Polytechnic University of Madrid.

• Data Scientist from Universidad Interamericana. He also holds professional certifications as a Chartered Market Technician (CMT) and Certified Financial Technician (CFTe), and is a member of IFTA and AAII. Scherman has developed over 200 quantitative trading systems.

Career and SciTech Investments

Ivan Scherman leads SciTech Investments (formerly Emerge Funds), a multi-asset and multi-strategy quantitative algorithmic hedge fund. The company began operations as a Family-Office in July 2007. SciTech received its Investment Manager license from the British Virgin Islands Financial Services Commission as Approved Managers in 2014. Scherman himself has been recognized by the SEC as a Large Trader since 2014.

SciTech offers sophisticated investment solutions structured as Exchange-Traded Notes (ETNs), listed on the Vienna Stock Exchange under ISIN: XS2564083413. The firm serves over 2000 High-net-worth individual (HNWI) clients globally and collaborates with Multi-Family Offices and wealth management companies. SciTech is headquartered in the British Virgin Islands and has offices and distribution in over 12 countries, with approximately 120 staff worldwide. The company's performance history has been independently verified by KPMG. Key institutional partners include Bank of New York Mellon as Principal Paying Agent, Interactive Brokers LLC as Custodian & Broker, and Forvis Mazars Global as Auditor.

SciTech's Growise Portfolio boasts an average annual net return (CAGR) of 21.79% since its inception in July 2007. Over 18 years, it has achieved positive returns in 16 years (88.89%) and negative returns in 2 years (11.11%). The highest net return in a year was 83.79%, and the lowest was -20.77%.

World Cup Championship of Futures Trading®

Ivan Scherman is the winner of the 2023 World Cup Championship of Futures Trading®. In this real-money competition, he achieved a remarkable 491.95% net return over 10.85 months, transforming an initial investment of $241,360 into $1,428,728. This performance ranks as the second highest in the last 15 years and the ninth highest in the championship's history. His maximum drawdown during this period was -26.2%.

Scherman has participated in the championship multiple times:

• In 2021, he finished within the top five.

• In 2016, he held the first-place position until a personal family issue led him to withdraw, having achieved approximately 200% returns.

• As of an interview in 2024, he was actively competing again, having achieved a 96.3% return in 9-10 months.

Investment Philosophy

Scherman's investment philosophy is rooted in science and engineering, specifically in detecting market patterns that recur with mathematical probability. His methodology is 100% algorithmic, employing mathematical tools, statistical analysis, and engineering principles (like signal filtering and noise detection) to identify repetitive behavioral patterns in market data.

Key aspects of his approach include:

• Algorithmic Trading: Utilizes artificial intelligence (AI), genetic computing, and statistical models to find non-linear patterns and enhance existing strategies. AI is applied to improve systems already proven to work, rather than for standalone pattern discovery, to mitigate the risk of overfitting.

• Data-Driven Decisions: Trading decisions are based on quantifiable, replicable rules, removing subjective interpretation and emotional biases. He emphasizes the use of clean, robust, and consistent data from paid providers for rigorous backtesting and model validation.

• Market Agnosticism: Scherman's strategies allow for taking both long and short positions across various asset classes (including currency futures, energies, grains, indices, metals, and softs), enabling profit generation regardless of overall market trends. He aims to only operate when opportunities align with statistically validated patterns.

• Active Risk Management: A central tenet is meticulous risk management to achieve a smooth equity curve and minimize volatility. This includes:

◦ Diversification and Decorrelation: The portfolio incorporates multiple logics and asset classes, focusing on decorrelation to ensure true diversification and prevent identical price triggers from simultaneously affecting different positions.

◦ Stop-Loss per Trade: Every position has a pre-established loss tolerance threshold, determined by the historical behavior of the pattern, automatically closed by the systems to eliminate human psychology.

◦ Position Sizing: Ensures a balanced distribution of the relative weight of every traded asset, preventing any single position from disproportionately affecting client capital.

◦ System Incubation: New trading systems undergo an incubation and testing phase for a year or more with real money before being fully integrated into the main portfolio.

• Pattern Recognition: Scherman identifies recurring behavioral patterns in markets, often driven by human emotions (fear, euphoria, greed, panic), habits, and seasonal factors. Examples include the presidential cycle, "Monday risk aversion," and the year-end rally. He stresses the importance of not operating when no reliable pattern is present, emphasizing that remaining out of the market can be as crucial as active trading.

Legacy and awards

In 2023, he won the world cup trading

References

External links

Wikiquote has quotations related to Ivan Scherman

^[1] “The majority of aspiring retail traders fail not for the lack of talent, but mainly for the lack of infrastructure.”

^[2]“If I can't corroborate a trade it with the past historical data it's nothing mor than a coffee-shop opinion.”

Winner of the Trading World cup Archived January 1st, 2024, at the World cup trading
SciTech

^ The majority of aspiring retail traders fail not for the lack of talent, but mainly for the lack of infrastructure.
^ If I can't corroborate it with the pas mine is nothing mor than a coffee-shop opinion.

[1] The majority of aspiring retail traders fail not for the lack of talent, but mainly for the lack of infrastructure.

[2] If I can't corroborate it with the pas mine is nothing mor than a coffee-shop opinion.

[1]

[2]

Draft:Ivan Scherman