RESEARCH
Understanding markets through data.
FINOVIS explores market behavior through quantitative research, data analysis and systematic methods designed to identify structure in complex financial markets.
01. OUR RESEARCH
From observation to understanding.
Quantitative research is the foundation of how FINOVIS approaches financial markets. We study market behavior, data relationships and recurring structures to develop a deeper understanding of how markets evolve and interact.
Our research combines quantitative methods with empirical analysis, testing ideas against historical and market data before they become part of a model or system.
The objective is not to predict every market movement, but to identify relationships and structures that can support disciplined, data-driven decision-making.
02. RESEARCH AREAS
What we investigate.
Our research focuses on areas where data, market behavior and quantitative methods intersect.
MARKET BEHAVIOR
Understanding how markets move.
We examine price behavior, volatility, liquidity and market dynamics to identify recurring structures and relationships across financial markets.
DATA & SIGNALS
Finding information in complexity.
We investigate relationships within market data and evaluate how quantitative signals can capture relevant patterns across changing market environments.
QUANTITATIVE METHODS
Turning hypotheses into models.
We apply statistical and quantitative methods to test hypotheses, evaluate relationships and develop models grounded in empirical evidence.
EXECUTION & RISK
From models to markets.
Our research extends beyond models to examine execution, market conditions and risk as integral parts of systematic trading systems.
03. INSIGHTS
Ideas worth exploring
Perspectives on markets, technology and quantitative investing.
QUANTITATIVE TRADING
JUL 2026
When Everyone Has the Same Data, Where Does Alpha Come From?
As access to market data becomes increasingly widespread, differentiation may depend less on information itself and more on how it is interpreted.
MARKET BEHAVIOR
AUG 2026
Why Markets Are Harder to Predict Than to Understand
Financial markets may resist precise prediction, but their behavior can still reveal structures, relationships and probabilities worth understanding.
AI & MACHINE LEARNING
JUN 2026
Does AI Actually Understand Financial Markets?
Artificial intelligence can identify increasingly complex patterns in financial data. But recognizing patterns is not necessarily the same as understanding the markets that produce them.
04. RESEARCH PAPERS
Ideas examined in depth.
Explore selected FINOVIS research papers on quantitative methods, market behavior and systematic trading.
FINOVIS RESEARCH PAPER · RP-003 · 2026
Robustness Before Performance: Evaluating Quantitative Models Beyond Backtesting
Backtested performance alone is insufficient evidence of a quantitative model’s robustness. This paper examines how model selection, independent validation, parameter stability, changing market environments and implementation assumptions shape the interpretation of historical results.
QUANTITATIVE METHODS
05. FROM RESEARCH TO APPLICATION
Research becomes valuable when it can be applied.
Our research does not exist in isolation. Quantitative ideas are tested, developed and translated into models, software and infrastructure designed for application in financial markets.