Traditional research and analysis make it practically impossible to consistently beat the stock market index over time.
A DIFFERENT APPROACH WAS REQUIRED.
AFM is powered by mathematics, not human judgment.
By covering the entire S&P 500 - rather than concentrating on just 20-30 popular stocks - it delivers a safer, fully diversified investment approach.
AFM-managed accounts have outperformed the S&P 500 every year since 2019.
AFM replaces fundamental research with a disciplined, fully automated process based on mathematical models.
AFM includes all 500 companies in the S&P 500, providing broad market coverage and reliable long-term growth.
No margin trading, short selling, futures, options, or arbitrage. AFM’s top priority is capital protection.
AFM has outperformed traditional large-cap funds over time by staying systematic and avoiding emotional decision-making.
Unlike traditionally managed funds, AFM strategy spans the entire S&P 500 index and requires a portfolio large enough to maintain balanced diversification. It is therefore offered primarily to Family Offices and High-Net-Worth Individuals (HNWIs).
Assets remain in your account — AFM only manages trades. Complete flexibility to pause or exit at any time.
Portfolios are tailored to the investor’s unique goals, moving beyond a one-size-fits-all solution.
Supported by LX InfoTech, investors benefit from ongoing, personalized guidance and support.
Unique service charge, no commissions or hidden costs.
AFM is a data-driven application that uses mathematics instead of subjective judgment. It isn’t a stock-picking tool, but a series of equations designed to achieve clear, predefined goals. By removing human bias, AFM delivers consistent results over time.
LX InfoTech Sàrl provides account setup, system configuration, and ongoing support. Each account is configured through a proprietary process designed to reduce volatility and risk.
Once the Service Charge agreement is signed and trading authorization granted, AFM is activated and ready to trade. Trades are carried out automatically under predefined rules to minimize risk.
The AFM Master Account was launched in 2019, with additional funding through 2021 during its testing phase.
The chart below highlights performance from Feburary 2021 onward — a period with no further capital inflows or withdrawals.
Today, AFM oversees more than $50 million in assets, underscoring the strategy’s consistency and resilience.
Long-term performance is driven by one principle: the power of compounding. Staying invested allows returns to build on themselves, turning steady growth into exponential results over time.
Dynamic and customisable performance analysis over any 5-year period can be consulted on the page History.
| Total Outperformance | |
|---|---|
| 13.6% | |
| Annual Outperformance | |
| 2021 | 0.8% |
| 2022 | 1.8% |
| 2023 | 2.2% |
| 2024 | 2.1% |
| 2025 | 1.2% |
Note: Performance results vary depending on the calculation base. Annual returns are not simply the sum of monthly figures.
(Past performance does not guarantee future results.)
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 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 exclusive service for AFM account holders, taking responsibility for setting up accounts and their ongoing maintenance.
For further information, please contact:
LX InfoTech Sàrl
TechnoArk 10, CH-3960 Sierre, Switzerland
lx-infotech.ch
info@lx-infotech.ch
+41 (0)78 796 8183
Arrange Consultation