About the Institute
Independent research for algorithmic investing.
The Institute for Algorithmic Investing is an independent research and ratings authority for the algorithmic trading and investment industry.
Who we are
We publish institutional-grade evaluations of automated trading systems, algorithmic investment platforms, and quantitative investment vehicles. Our research serves retail investors, independent allocators, and anyone evaluating algorithmic systems before committing capital.
Our mission
The Institute for Algorithmic Investing applies rigorous quantitative analysis and data science to the independent evaluation of algorithmic investment systems. Our mission is to provide investors with a trusted, independent source of institutional-grade research in a space defined by sophisticated opportunities and rapid growth.
We exist to help independent investors understand, evaluate, and engage with algorithmic investment systems with the same analytical depth available to institutional allocators.
What we evaluate
We evaluate algorithmic investment systems across multiple dimensions:
Our proprietary scoring framework produces ratings that allow investors to compare systems on a consistent, objective basis. The specific methodologies, scoring models, and factor weightings that produce our ratings are developed internally and represent the Institute's core intellectual property.
Our standards
The Institute's evaluation framework is built to institutional specifications. It applies the same categories of analysis and risk-detection standards that professional allocators use when evaluating algorithmic systems for institutional capital deployment. The standards we apply are not exotic or arbitrarily demanding. Structural soundness, honest risk management, transparent performance reporting, and basic operational integrity are not luxuries reserved for elite hedge funds — they are the minimum requirements that should apply to any system an investor is trusting to execute their strategy.
Core values
Objectivity
Our evaluations follow a consistent methodology applied equally across every system. Our scores are the output of our framework — not our feelings.
Independence
Our analysis is not influenced by sponsorship, advertising, or commercial relationships with the platforms we review.
Rigor
Our frameworks are built on data science, quantitative research, and institutional evaluation methodology.
Transparency
Our evaluation criteria and the principles behind our scoring are published. The proprietary methodologies that produce our ratings are protected intellectual property.
Accessibility
Institutional-grade analysis should not require an institutional background.