OpenFactsheet Launches Free Open-Source Tool to Reveal Hidden Investment Risks

OpenFactsheet.org has launched a free, open-source platform to provide independent analysis of investment fund performance. By breaking down historical monthly returns into risk-adjusted metrics and plain-English reports, the tool aims to democratize sophisticated quantitative finance analysis, offering retail investors and professionals a transparent "second opinion" on headline return figures.

What was announced

OpenFactsheet.org is an open-source website designed to analyze historical monthly returns, examining gains alongside risks and risk-adjusted performance. The platform is built to help investors understand how much return an investment generated relative to the risk taken, presenting findings in plain English to bridge the gap between complex data and retail decision-making. Users can interact with the tool by pasting a table of monthly returns—data commonly found in fund factsheets—or by uploading CSV and Excel files. Within seconds, the site evaluates gains, historical declines, and recovery periods. For those without their own data, the platform includes built-in synthetic data to demonstrate its capabilities.

The analysis is governed by a framework of over 100 metrics, all of which are publicly documented. This transparency includes the disclosure of formulas, interpretations, explanations, assumptions, and academic references, all of which are open to external review. To ensure user privacy and scalability, all calculations are performed locally within the visitor's browser, meaning uploaded files are not transmitted to the project's servers. The platform caters to two distinct groups:

• Everyday investors: Who receive readable, exportable reports that explain performance in non-technical language.
• Financial professionals: Including developers, financial firms, and capital allocators, who gain access to quantitative tools and a powerful, well-documented open-source Python library.

The system is also designed with methodological safeguards; short or questionable data records trigger warnings rather than providing false certainty, ensuring the integrity of the analysis provided.

The companies involved

OpenFactsheet.org is an independent initiative created by Andrés A. Bagnasco, a professional with more than 25 years of experience across quantitative finance, artificial intelligence, machine learning, and investment management. While Bagnasco serves as the Investment Management Program Director and a postgraduate finance professor at UCU Business School, the platform is an independent project and not a university-sponsored product. The project enters the fintech space as a non-commercial utility, focusing on financial education and transparency rather than asset management or brokerage services.

The platform positions itself as a neutral third party in an industry where fund factsheets are often the primary—and sometimes only—source of performance data for retail participants. By providing a standardized, open-source methodology for return analysis, the project seeks to provide a level of scrutiny typically reserved for institutional capital allocators. OpenFactsheet does not act as a regulator or auditor, nor does it provide financial advice or account for individual taxes and fees. Instead, it focuses strictly on the mathematical interpretation of historical performance data to highlight risks that headline figures might otherwise obscure.

What this means

The launch of OpenFactsheet.org reflects a growing trend toward the democratization of risk analysis, putting institutional-grade tools into the hands of retail investors. By making complex risk-adjusted metrics accessible through plain-English reporting, it places pressure on fund managers who rely on high-level return figures to mask underlying volatility or poor recovery histories. This move toward open-source transparency raises significant questions for the wealth management sector: as retail investors gain the ability to independently audit performance claims, will traditional fund factsheets be forced to evolve? The project highlights a shift where the "black box" of quantitative analysis is being opened, potentially setting a new baseline for what constitutes an informed investment decision.