A rules-based approach to investing in the US market.

Fully data-driven. No human bias. Designed for stability and long-term outperformance.

Performance at a glance

How a hypothetical $5’000’000 investment with AFM would have performed since 28 January 2021:

Initial investment	Latest value	Total AFM return
——	——	——

AFM vs S&P 500: —; —; added value; Since inception
AFM vs Dow Jones: —; —; added value; Since inception
Winning years: —; AFM outperformed the S&P 500 in every completed year since 2021.; through —.

AFM Return (—)
S&P 500 (—)
Dow Jones (—)
Outperformance vs S&P 500

Loading latest performance data…

Annual and cumulative performance returns in percent. Loading performance data…
Investment	Year	Cumulative
AFM	—	—
S&P 500	—	—
Dow Jones	—	—

Past performance is not indicative of future results.

Explore AFM’s historical record or follow today’s performance.

Why Choose AFM?

Data-Driven

A procedure, not a portfolio manager.

AFM replaces forecasting, opinions and discretionary reactions with a disciplined autonomous process based on data, mathematics and systematic execution.

Broader Diversification

AFM includes all 500 companies in the S&P 500, providing broad market coverage and reliable long-term growth.

Safety First

What AFM deliberately avoids:

No human intervention in investment decisions
No market timing based on news or sentiment
No margin trading
No short selling
No derivatives, futures or options

Consistent Growth

AFM has outperformed traditional large-cap funds over time by staying systematic and avoiding emotional decision-making.

Who is it for? AFM spans the entire S&P 500 and is primarily intended for institutional investors, Family Offices and High-Net-Worth Individuals, where sufficient capital allows broad diversification across the index and efficient execution.

AFM is equally well suited to long-term investors seeking to build and preserve wealth across generations — for example, education funding, property acquisition and retirement planning — where consistency and capital preservation are paramount. See history

How It Works

Concept

AFM is a data-driven application that uses mathematics instead of subjective judgment. By removing human bias, it delivers consistent results over time. With a unique service charge and no hidden commissions, it remains a highly cost-effective solution.

Setup & Configuration

LX InfoTech Sàrl acts as your partner, providing personalized account setup and ongoing support. Each portfolio is uniquely tailored to reduce volatility and align perfectly with your specific investment goals.

Get Started

Full ownership: Assets stay safely in your own account.
Trading access: LX InfoTech receives trading rights only.
Automated: The system operates directly in your account.
Flexible: Complete freedom to pause or exit at any time.

If you would like to receive further information or discuss whether this approach is appropriate for you:

Arrange a Consultation

All enquiries are treated with strict confidentiality.

Frequently Asked Questions

Everything you may want
to know about AFM.

Clear answers about how AFM works, how your assets are protected,
performance, costs and getting started.

What exactly is AFM?

Autonomous Fund Management (AFM) is a Swiss-developed investment procedure for managing portfolios of US equities.

Every investment decision is generated solely from market data according to predefined mathematical rules.

No human intervention. No forecasts. No opinions.

Data-driven decisions Decisions based solely on market data.
Consistent and disciplined The same rules are applied at all times.
Your assets remain in your own account AFM has trading authority only. You retain full ownership and control.

How are my assets protected?

Your assets remain in your own account at your broker or custodian.

AFM is given trading authority only and does not take custody of assets.

We recommend the use of a master/sub-account structure.

Assets remain in your account You retain full ownership.
Regulated brokers and custodians Use your preferred institution.
Strict operational controls No access to client funds or cash.

How is AFM different from traditional management?

Traditional management relies on human judgement, opinions and forecasts.

AFM is fully autonomous and relies only on market data, applying the same mathematical rules at all times.

No human intervention Eliminates emotion and bias.
Rules-based and consistent The same process, every day.
Covers the entire S&P 500 Broader diversification.

Does AFM use Artificial Intelligence?

No. AFM does not use Artificial Intelligence to make investment decisions.

AFM was conceived in the late 1980s, long before the AI boom.

All investment decisions are generated solely from market data according to predefined mathematical rules.

No AI in investment decisions Purely data-driven and rules-based.
Conceived in the late 1980s Long before the AI era.
Independent of AI trends A proven, time-tested approach.

Does AFM use leverage, derivatives or short selling?

No. AFM does not use leverage, does not short sell and does not use options, futures or other derivatives. AFM invests only in shares of companies within the S&P 500 universe.

No leverage No margin trading.
No derivatives No options, futures or other derivatives.
Long-only Invests only in S&P 500 shares.

How has AFM performed?

AFM’s live reference account has a continuous record since 29 January 2021.

It has outperformed the S&P 500 in every completed calendar year since then.

You can view detailed and up-to-date performance on our History page.

Outperformed every year since 2021.
View full performance history on our website
Past performance is not indicative of future results.

Can I see what AFM is doing today?

Yes. Our Intraday page shows the current performance since the US market opened, updated in real time during market hours.

Live intraday performance
Updated in real time during market hours
View on our Intraday page

What is the minimum investment?

The minimum investment is USD 1,000,000.

Larger investments may be possible and institutional terms are available.

Minimum investment USD 1,000,000
Institutional terms available for larger amounts

What does AFM cost?

AFM charges a service fee of 0.75% per year of assets under management (AUM).

There are no performance fees and no commissions.

All published performance figures are net of trading costs and brokerage commissions.

0.75% per year of AUM
No performance fees
No commissions

Can my bank, Family Office or adviser use AFM?

Yes. AFM works with banks, Family Offices and independent advisers.

They retain their clients and the client relationship, determine their own fees. AFM provides the portfolio management.

You retain your clients
You determine your own fees
AFM provides the portfolio management

Who is AFM intended for?

AFM is designed for institutional investors, Family Offices and other sophisticated investors. It may also be suitable for high net worth individuals with a long-term investment horizon.

Institutional investors
Family Offices
High net worth individuals (with a long-term horizon)

Can I stop using AFM?

Yes. You can terminate the arrangement at any time, subject to the notice period in the agreement with LX InfoTech Sàrl. Your assets remain in your account.

You can stop at any time
Your assets remain in your account
Subject to notice period

Who developed AFM?

The concept behind AFM was conceived by Peter Seilern and developed and tested with Leyun Xia, including research collaboration with HES-SO Valais.

LX InfoTech Sàrl, based in Sierre, Switzerland, is responsible for the operation, monitoring, maintenance and support.

Conceived by Peter Seilern
Developed with Leyun Xia
Research collaboration with HES-SO Valais
Operated by LX InfoTech Sàrl (Sierre)

Why trust a procedure without human intervention?

Human decisions can be influenced by emotion, opinion, headlines and changing market sentiment.

AI-based systems depend on human-selected data, instructions and assumptions.

AFM is different. It relies solely on market data and consistently applies the same predefined mathematical rules.

Eliminates emotion and bias
No human-selected data or assumptions
Same rules applied at all times

Performance figures are unusual. Where’s the catch?

AFM is a combination of curiosity and common sense. There is no catch.

No leverage, no derivatives, no short selling
Invests in S&P 500 universe
Consistent, long-term process
Past performance is not indicative of future results.

Still have questions?

We are here to help.

Origins of AFM

Autonomous Fund Management (AFM) originated from a concept conceived by Peter Seilern, who sought a fundamentally different approach to investing in equity markets.

Early work, including Computer-Assisted Trading (CAT), demonstrated that investment decisions could be improved through data-driven, mathematical processes rather than human judgment.

Practical implementation, however, was not feasible at the time. Critical elements, such as reliable internet connectivity, cloud computing, real-time market data, instant trade execution, and sufficiently low transaction costs, were not yet available.

It was not until the early 2000s that these technological conditions began to emerge, and thanks to further development, the concept evolved into a workable framework.

Ten years ago, in collaboration with HES-SO Valais (University of Applied Sciences of Western Switzerland), the system was further refined and adapted for practical application.

This process culminated in the launch of AFM in its current form—a self-sustaining, data-driven investment procedure operating entirely without human intervention.

LX InfoTech Sàrl was subsequently established to support the deployment of AFM, providing dedicated services to investors while ensuring the system’s ongoing advancement.

Today, AFM is further enhanced through the integration of artificial intelligence while remaining firmly anchored to its founding principle: the complete absence of human judgment in investment decisions.

Peter Seilern

Peter Seilern, now inactive, earned his Master's degree in Physics at the EPUL, the Federal Polytechnic School of Lausanne (EPFL). He gained experience as a research engineer at Litton Industries' Guidance and Control Systems Division in California before spending three years in New York as an associate at Dillon, Read & Co. Inc.

Upon his return to Switzerland, he pioneered the development of Computer-Assisted Trading (CAT), a system that enables investors to trade securities depending on performance metrics and other criteria.

Autonomous Fund Management (AFM), an extension of CAT, was first introduced in 2007 and provides investors with a data-driven approach to managing their assets. In early 2019, he collaborated with HES-SO Valais to launch the current version of AFM.

Leyun Xia

Leyun Xia was born in Shanghai, where he studied French at university. At the age of 21, he moved to Switzerland to continue his studies and after a language stay allowing him to perfect his French, he joined the HES-SO Valais where he obtained a Bachelor’s Degree in computer science and a Master's in Business Administration.

He then worked for 10 years as a research scientist at the same university, participating in projects devoted to the fields of data mining and machine learning.

In 2017 he paired with Peter Seilern as part of a research project at HES, playing a key role in the development and testing of AFM, before successfully deploying the system into a live environment in mid-2019.

Leyun founded LX InfoTech Sàrl to continue developing AFM’s program in a fast-changing financial market. The company also provides an exclusive service for AFM account holders, taking responsibility for setting up accounts and their ongoing maintenance.

Most investment managers use research and personal judgment to guide their decisions. AFM replaces this with a disciplined, fully automated process based on mathematical models.

That means no bias, no guesswork, and no panic-driven reactions — just an approach designed for steady long-term growth.

Fund managers tend to concentrate their research on the largest companies in the S&P 500.
But here’s the catch:

The top 15 companies account for only 41% of total S&P500 market capitalisation.
The remaining 485 companies represent 59%, yet receive practically no analytical attention.

AFM takes a different approach:
Rather than focusing on a narrow group of dominant companies, AFM systematically analyses and captures opportunities across the entire index - resulting in greater stability and lower volatility.

Interesting sideline: The largest company in the S&P 500 is roughly 1,000 times the size of the smallest!


Traditional management tends to focus on large cap stocks (ex. largest 15).	AFM covers the entire S&P range.

AFM’s first priority is the safety and preservation of investor capital. Outperformance is a natural result of its disciplined, data-driven process — not the product of speculation or concentration risk.

AFM represents a new generation of investment management: transparent, mathematical, and inherently safer than the traditional human-driven approach.

AFM is designed to deliver performance that is more consistent and stable over time, in contrast to the greater concentration risk often associated with traditional large-cap strategies.

Relative performance of similar funds and AFM to the S&P 500

Home

A rules-based approach to investing in the US market.

Performance at a glance

How a hypothetical $5’000’000 investment with AFM would have performed since 28 January 2021:

Want to know more about AFM?

Investment management without human emotion.