The independent editorial review of algorithmic and quantitative trading.
Billions of dollars move into algorithmic and quantitative trading every year. Most of the people committing that capital are working with defective information: polished pitch decks, curated track records, and marketing dressed as education. Genuinely independent, allocator-grade analysis of this space has barely existed. Not at any serious depth. Not written by people who know what due diligence in this field actually looks like from inside it.
Algotrader.ch is the answer to that gap. The first independent editorial publication on algorithmic trading, quantitative trading, and systematic investing, written entirely from the allocator’s perspective. We are democratising access to the kind of analysis that used to exist only inside institutional due diligence teams.
The information gap we are closing
The information environment around quant and algorithmic investing is structurally broken. Developer content dominates one end: tutorials, code repositories, backtesting libraries. Useful for builders. Useless for allocators. Retail noise dominates the other: signal services, copy-trading platforms, performance leaderboards sorted by raw return. In the middle, serious capital allocators – family offices, investment committees, professionals evaluating quant managers – are left working from material that is too technical, too promotional, or too thin to be genuinely useful.
Nobody was filling that gap with real depth, real independence, and real allocator-grade rigour. That is what this publication does.
“We are not neutral in the sense of having no view. We are neutral in the only sense that matters: no commercial relationship distorts what we write.”
Who reads this publication
Readers evaluating systematic managers for real capital allocation. They need to understand whether claims hold up under scrutiny, and what asking the right questions looks like in practice.
- What credible backtest construction actually requires
- Why smoothed NAV is a warning signal, not reassurance
- What risk controls look like when genuinely stress-tested, not just documented
Readers with significant capital who need the allocator-grade layer: not just what a strategy is, but whether it deserves serious consideration and how to verify that from outside the manager relationship.
- How to read a strategy presentation with real critical discipline
- The five dimensions that actually predict long-term investability
- What separates a serious quant setup from a polished story
Readers who understand markets and want to evaluate algorithmic strategies seriously. Not looking for definitions. Looking for the harder context that most content in this space quietly omits.
- How execution quality affects realised returns in ways a backtest hides
- Why operational robustness matters as much as the model itself
- How to assess a manager when every deck says the same things
How we work differently
Editorial standards are easy to claim. Here is what ours look like in practice.
| Topic | What most coverage does | What we do |
|---|---|---|
| Track records | Headline returns reported at face value | Backtest construction assessed. Live-vs-backtest gap named and explained. Risk-adjusted returns weighted above raw performance |
| Risk claims | “Advanced risk controls” accepted as given | Controls assessed on timing: were they designed before the first drawdown or after it? That distinction tells you almost everything |
| Sources | Secondary aggregators and vendor white papers | Primary academic literature (Harvey and Liu 2015, Lopez de Prado 2018), regulatory frameworks (MiFID II RTS 27/28, SEC 15c3-5), publicly disclosed fund material |
| Contested claims | Presented as consensus | Labelled clearly: what the serious literature regards as settled, and what remains an active debate, are distinguished every time |
| Legacy content | Outdated material presented as current | Dated clearly. Standards changes noted. Older material framed in its original context with a current-relevance assessment |
Six areas of serious coverage
Every subject is covered from the allocator’s vantage point: what this means for investability, what strong looks like versus weak, and what to ask.
- Algorithmic Trading – Rule-based execution to fully systematic strategies. What automation actually means for edge, and why it is not the same as edge.
- Quantitative Trading – Model-driven investing assessed rigorously. The gap between research performance and live reality is where most allocation mistakes begin.
- Systematic Investing – Factor exposures, diversified signals, rules-based allocation at portfolio scale. The promise is real. So is the crowding problem no pitch deck admits.
- Backtesting – A backtest is evidence of a hypothesis, not proof of a strategy. How construction methodology determines whether a track record means anything at all.
- Risk Management – The investability test. Drawdown rules, leverage limits, kill switches. Controls designed before the first serious drawdown, not retrofitted after it.
- Manager Evaluation – How to assess a systematic manager when every deck says the same things. The questions that separate a real setup from a polished story.
The Review: a first of its kind
Most directories in this space are broad, promotional, and sorted in practice by marketing budget. The Review works the other way. Most strategies that apply do not pass. The ones that do are assessed across five dimensions that institutional due diligence actually cares about, with verification status visible on every data point. Risk architecture is weighted first. No strategy buys its way in.
- Risk Architecture – weight 30%
- Strategy Robustness – weight 25%
- Operational Integrity – weight 20%
- Transparency Quality – weight 15%
- Track Record Credibility – weight 10%
The experience behind the editorial
The editorial team behind Algotrader.ch brings years of direct experience across the allocation, due diligence, and infrastructure layers of this field. That means reviewing strategy presentations for people who had actual allocation decisions to make. Assessing backtest construction against the claims attached to it. Examining execution quality and operational controls in environments where failure had real consequences. Building relationships across quant funds, execution desks, data vendors, and compliance teams across multiple jurisdictions.
- The question we return to most often: Were the risk controls designed before the first serious drawdown, or after it? That distinction tells you almost everything about whether sophistication is structural or retrospective.
- The pattern we see most consistently: The weaker the setup, the more confident the pitch. Managers who cannot explain the limits of their edge tend to claim none. Managers who know their edge intimately speak about it with more caution, not less.
- The thing we changed our mind on: Operational robustness matters more than we initially weighted it. A strong model on fragile infrastructure, with weak monitoring and no documented escalation path, is not an investable strategy. It is a future incident report.
Independence and ownership
Common questions
Serious private investors, family offices, and professional investment teams evaluating algorithmic or quantitative exposure. The content assumes financial literacy but not technical background. Translation between those two worlds is the point.
None of those. Algotrader.ch is an independent editorial publication. We do not trade on your behalf, sell financial products, or provide regulated investment advice. We provide serious, plainly written analysis for readers who want help judging this field more clearly.
Most directories publish broad, largely unfiltered track-record data; they do not distinguish between a serious quant setup and a curve-fitted retail product. The Review goes the other way: fewer strategies, structured assessment, real editorial scrutiny, and risk architecture weighted as the first question – not a footnote.
Material factual errors will be reviewed, corrected where warranted, and noted on the relevant page. Requests must be specific and come with verifiable supporting evidence. Accurate editorial coverage is not removed because a subject finds it unflattering.
A conversation, not a pitch.
If you are a serious allocator, investment committee member, or family office evaluating this space, we would genuinely welcome that conversation. We do not sell financial products. We help serious readers see this field more clearly and ask the questions a polished pitch usually avoids.
Content is attributed to the Algotrader.ch Editorial Team as collective byline. Named contributors are credited on individual pieces as the publication grows.