Core Technology & Framework
All Xenith strategies are built on a common foundation of systematic portfolio design. The following summary outlines the key components integrated into our strategies:
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XXS 1.4 XXS 1.4 is a diversified FX and commodities strategy built on 14 subsystems. It emphasises deep correlation analysis, aiming to select strategies that display low correlation while operating with an average risk parameter of 3% per subsystem.
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Minimum Investment
from $10,000
2025
ROI
28.13%
Historical Max. Drawdown
-15.32%
XXS 2.0 is a cross asset strategy integrating FX, commodities, and cryptocurrencies within a single framework. It operates 20 subsystems, executing approximately 1,000 trades per month with an average holding time of 24 hours.
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Minimum Investment
from $10,000
2025
ROI
34.02%
Historical Max. Drawdown
-15.49%
XXS-2.1 is a sophisticated multi-asset institutional strategy that dynamically allocates exposure across FX, commodities, U.S. ETFs, indices, and single stocks via 20 uncorrelated subsystems. Powered by an advanced genetic optimisation engine with real-time correlation monitoring, the system typically splits allocation equally between FX and commodities and U.S. equities, executing approximately 1,200 trades per month with holding periods ranging from 48 hours to 20 days.
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Minimum Investment
from $10,000
2025
ROI
23.23%
Historical Max. Drawdown
17.45%
General Risk Disclosure
The value of investments and the income from them can go down as well as up, and investors may not get back the amount originally invested. Past performance is not a reliable indicator of future results. The figures provided in this document refer to simulated or historical performance of algorithmic strategies; these figures do not account for slippage, fees, or platform-specific execution delays unless explicitly stated.
Technological Risks
Xenith Capital’s strategies rely on complex software, machine learning models (NSGA-II), and electronic execution systems. While every effort is made to ensure system stability, trading is subject to risks including:
Software Failure: Bugs or coding errors in the algorithm.
Connectivity Issues: Latency or disconnection between the signal provider and the execution broker.
Model Drift: The risk that historical market patterns (on which the machine learning models are trained) cease to be relevant in current market conditions.
Cryptoasset Specific Disclosure
Certain strategies described herein (specifically the Xenith NOVA Series) involve exposure to cryptoassets (e.g., Bitcoin, Ethereum).
Unregulated: Cryptoassets are largely unregulated in the UK.
No Protection: Cryptoasset investments are not protected by the Financial Services Compensation Scheme (FSCS) or the Financial Ombudsman Service (FOS).
Volatility: Digital assets can experience extreme price volatility, including single-day drops of >30%. Liquidity is not guaranteed; in times of market stress, it may be impossible to liquidate a position at a reasonable price.
No Investment Advice
Contents of this page are provided for informational purposes only and do not constitute a personal recommendation or investment advice. It has been prepared without taking into account your objectives, financial situation, or needs. It should not be interpreted as a recommendation to enter into any investment; therefore, before acting on any information provided here, you should consider its appropriateness to your circumstances and, if necessary, seek independent professional advice.
Capital is at risk. Past performance is not a reliable indicator of future results.
