About the practice

A factor investing practice built on evidence.

Founded in Madrid by Carlos Morales. Focused on factor investing in equity markets.

The founder

Carlos Morales, founder.

Quant Solvings is the practice of Carlos Morales, a quantitative researcher and coach based in Madrid. The scope is deliberately narrow: factor investing in equity markets, researched and operated with the discipline of an institutional desk.

Carlos holds a Master’s degree in Stock Market and Financial Markets from the Instituto de Estudios Bursátiles (IEB), where his work centered on factor research, portfolio construction and systematic strategy design. Before founding Quant Solvings in 2024, he worked at the intersection of quantitative finance and applied research, contributing to analysis in profitability, liquidity, solvency and asset management, and to quantitative models for institutional decision-making.

As a Portfolio123 verified coach, Carlos has worked with more than fifty clients, individual investors and institutions worldwide, in English and Spanish, on the design and operation of their own systematic frameworks.

His research is published on SSRN, and he builds free, MIT-licensed Claude skills for systematic investors. Beyond coaching, Carlos provides technical consulting to institutional investors and high-net-worth individuals on custom factor models, risk frameworks and systematic processes.

Carlos Morales

Founder · Quantitative Researcher and Coach

The founder, seen from behind at a window, facing the Cuatro Torres of Madrid at dusk
Office towers of a financial district at blue hour

Madrid · Worldwide

Operating principles

How the work is done.

  1. Evidence over intuition.

    Every rule in a framework traces back to published research or reproducible tests. A factor earns its place with evidence across regions, time periods and microstructure conditions. Conviction is not an input.

  2. Process over outcomes.

    In systematic investing, a good outcome can come from a poor process, and a poor outcome from a sound one. The practice focuses relentlessly on the quality of the process, on its design, validation and operation, rather than on results in any single period.

  3. Robustness over optimization.

    A strategy that performs spectacularly in-sample is almost certainly overfit. The aim is to build frameworks that behave acceptably across a wide range of plausible market conditions, not to maximize any backtested metric.

  4. Risk first, returns second.

    Every framework begins by defining what the worst plausible outcome looks like, and only then asks what an attractive return could be. Position sizing, concentration limits and drawdown controls come before performance objectives.

  5. Education over dependence.

    The coaching program is structured so that clients leave with a complete, repeatable workflow they can run, monitor and improve independently. Quant Solvings is a teacher and a technical partner, not a recurring service the client is expected to depend on.

Shelves of finance and mathematics books under a brass lamp

Selected media

In conversation with the industry.

A selection of interviews and features on quantitative investing, factor research and systematic strategy design.

  • The Money Runner interview thumbnail, From Data to Dollars

    The Money Runner (Official)

    From Data to Dollars: The Rise of Quant Investing with Carlos Morales

    Carlos joins David Nelson to discuss factor investing, momentum, rebalancing, and the role of data and technology in systematic investing.

    Watch the interview
  • Skull Sessions interview thumbnail, Why Not Being Wrong Beats Being Right

    Skull Sessions | Investor Insights

    Why “Not Being Wrong” Beats Being Right: A Discussion with Carlos Morales

    Maj Soueidan and Carlos discuss systematic risk control, factor-driven processes, the role of low-volatility approaches, and the case for probability over conviction.

    Read & watch the session
  • Portfolio123 interview thumbnail, Uncorrelated Alpha and AI

    Portfolio123

    Uncorrelated Alpha & AI: Advanced Strategy Design with Carlos Morales

    Portfolio123 hosts Carlos for a discussion of uncorrelated frameworks, diversification, machine-learning applications in quantitative finance, and work with family offices.

    Watch the interview

Considering a quantitative approach?

Begin with a 45-minute introductory conversation to assess fit, scope and approach.

Request an introductory consultation
Request a consultation · 45 min, no commitment