Where innovation meets investment discipline

Our Philosophy

Creating wealth, managing risk

Global markets have become increasingly competitive and synchronised. Many active managers have struggled to consistently outperform market-cap-weighted indices, which are supported by momentum effects and liquidity flows. At the same time, macroeconomic and geopolitical forces shape industries, business outcomes, and investor behaviour—making risk, positioning, and portfolio construction as important as stock selection.

Markets also tend to be semi-efficient over unknown and varying time horizons: information is absorbed quickly, but fundamental value still reasserts itself over time. Our philosophy is built on that tension—staying grounded in business fundamentals while recognising the practical realities of sentiment, liquidity, and shifting regimes.

Risk management is the keystone of our approach. We aim to protect capital during downturns and take considered risks when the opportunity is attractive. That shows up in how we allocate across assets and sectors, how we size positions, and how we stress-test assumptions. In equity selection, we focus on growth at a reasonable valuation to avoid the extremes that often follow crowded trades. Our macro lens helps us understand what may already be priced in, and where risks could change the investment case.

Our goal is to position portfolios for robust, risk-adjusted outcomes over time—through the cycles.

Our Process

Our unique approach to constructive investing

The attributes of good investments are clear: strong cash generation, capable management, durable competitive advantages, earnings growth, and sensible valuations. In practice, the market rarely offers “perfect” opportunities—so our process is built around understanding the trade-offs. It is flexible enough to respond to new information, rigorous enough to test detail, and grounded in how businesses and economies actually work.

The challenge is not purely intellectual or “engineering” in nature. Investing sits at the intersection of data, behaviour, and uncertainty. Our process integrates both the science—fundamental analysis, economic and industry work, data analysis, and machine learning—with the art of investing: judgement, sentiment, behavioural bias, geopolitical risk, consumer trends, and what is priced in versus what is not.

We operate a proprietary, cloud-native research and data platform alongside a team culture of debate and constructive challenge. Feedback loops and performance analysis are built in to help us learn, reduce behavioural bias, and stay focused on delivering products that add long-term value for clients.

Our Technology

Revolutionising investment performance through innovative technology

Technology has been part of Rezco’s DNA from early on—not as a marketing layer, but as a practical advantage in research, portfolio oversight, and decision-making. While our investment philosophy remains consistent, our process has evolved over time to equip the team with better tools and faster feedback.

Our early investments in data, analytics, and software infrastructure—internally led by Jan Krynauw—created a foundation that helped Rezco execute its process more efficiently and consistently.

In 2018, Jan and James Spanjaard founded an affiliated technology company, Alis Exchange, recognising both the pace of disruption in software and the need to innovate at high velocity. Alis Exchange develops enterprise-grade applications through its platform, Alis Build, and has assembled a specialised engineering and machine learning team. As an independent business, Alis can innovate in ways that a traditional in-house “tech department” typically cannot.

Rezco’s partnership with Alis—as an anchor client—has accelerated the evolution of our proprietary investment systems. A practical example is our portfolio manager workbench, Rezco Alpha Cockpit, which brings together performance analysis, screening, research and fundamental data, pre-trade checks, and dealing workflows in one environment.

Within Alis, a dedicated AI team develops proprietary signals intended to enhance idea generation and screening. We apply a “man and machine” approach: machine learning supports the research toolkit, while portfolio managers apply fundamental analysis, macro context, and disciplined portfolio construction to build diversified portfolios.

We view technology as a continuous journey—an essential ingredient for staying competitive in a global industry where information moves fast and discipline matters.