About Algotrader.ch, published by 3 Quant Research
3 Quant Research is the editorial research operation behind Algotrader.ch and The Review. Independent. Not for sale to managers we cover. It was built to do what the market for algorithmic and quantitative trading information has never done: publish structured, plainly written judgment on strategies, managers, and platforms, from a team that takes no payment for coverage, scoring, or placement.
Hundreds of billions of dollars go into systematic trading every year on the strength of track records, marketing material, and reputation. Independent judgment on those records sits behind private advisory relationships. Public databases track returns without ever looking at process.
So the investor with real money at stake reads the same brochure as everyone else. That gap is what this operation exists to close.
16 August 2026: what we are building at Algotrader.ch
The foundation is built. Nine months of rebuilding. The Review is live and scoring profiles, Research Notes is publishing, and the pillar pages are written.
From today we scale it. More pages, more strategies, managers and platforms put through the framework, more readers.
The ambition. An investor weighing algorithmic or quantitative exposure should have somewhere to check before they commit. Capital protection first, at any size.
The mission, in three parts
1. Demystify. Algorithmic and quantitative trading is a hard subject, and it is usually written up either in academic notation or in vendor marketing language. Neither helps someone deciding whether to put money into it. Our job is to translate the field into plain analysis that keeps the substance and needs no engineering background to follow.
2. Democratize. The frameworks used to judge systematic trading live inside private institutional advisory relationships. A family office or private investor who never built those relationships cannot see them. We are building ours in the open, with the method visible to anyone who reads it. The work behind an institutional due diligence report should not be locked inside one.
3. Capital protection first. The most consistent finding in our review of this category is that risk architecture matters more than performance numbers and is far less examined. The Algotrader.ch editorial position and The Review’s framework both weight risk discipline ahead of return. In a category that attracts exaggerated return claims, the first question about any strategy should be what happens when something goes wrong, not what happened when everything went right.
What we publish
Algotrader.ch is the editorial publication. It covers algorithmic, quantitative, AI, and systematic trading across the topics where an investor has to make sense of what they are looking at: strategy types, manager selection, platforms and infrastructure, execution quality, backtesting integrity, and operational resilience.
Every page is researched against primary sources and built so a reader can reach their own verdict instead of accepting the prevailing story.
The Algo & Quant Review is the scored layer. It publishes profiles of algorithmic and quantitative trading strategies, managers, and platforms on one five-dimension framework, where every score is explained and every claim is tied to evidence you can check.
Risk Architecture carries 30%, Strategy Robustness 25%, Operational Integrity 20%, Transparency Quality 15%, and Track Record Credibility 10%. The first scored profiles went live in 2026. The full methodology documents the sub-dimensions behind each score and the verification standard applied to every profile.
Research Notes is the working layer. Field observations go up as the team hits them, before they harden into a formal profile.
Research Notes is where the framework gets tested against what is happening in the market this month.
Editorial independence
No manager, platform, broker, or provider pays 3 Quant Research for coverage, for a score, or for placement in The Review. You cannot buy your way in. You cannot buy a higher score. No affiliate links anywhere on the site, to brokers, platforms, or data vendors. No display ads and no sponsored content.
One paid relationship exists, and it is disclosed. Where we introduce a reader to a manager and that introduction leads to an allocation, the manager may pay us a fee. It is disclosed on the listing, it is never a condition of coverage, and it cannot change a score.
Managers and platforms apply on the same terms, and the process is identical whoever the applicant is.
Most publicly available resources in this space carry some commercial entanglement. Affiliate links to brokers. Paid promotion of platforms. Database listings driven by who paid for inclusion.
The work is funded by the concierge conversation service and by those introducer fees. Introductions of that kind are exceptional, and building them is not the objective of the site. The full conflict-of-interest policy sets out every rule above, with the disclosure conditions in full.
Advisory Board (in formation)
An advisory board is being assembled to support the editorial standards behind The Review. Members are named publicly as they confirm.
The criteria are direct: real experience in systematic trading, manager selection, or operational infrastructure; no commercial relationship with managers or platforms The Review covers; willingness to be named and to argue with the editorial team in substance.
Members commit to quarterly meetings. The board’s job is to attack the framework, surface blind spots, and hold the standards to account.
How to engage
For private investors, family offices, and investment committees weighing a systematic allocation: the concierge conversation is the direct path. We do not give regulated investment advice.
We give structured perspective on the specific strategies, managers, or platforms you are looking at, drawing on the frameworks that inform The Review.
For managers and platform providers who want to be scored by The Review: applications are open, and the methodology and submission process are documented in full. Most submissions will not score well in v1. That is the point of the framework.
3 Quant Research is the editorial research operation of THREE3 BV, a Belgian company registered in 2008 (BCE 0808276848). The algotrader.ch domain belonged to AlgoTrader AG until 2022. That company now trades as Wyden, and this publication has no connection to it. The publication is independent. The methodology is documented. Algotrader.ch is also on LinkedIn and Substack.