Performance of Tekton Strategies
Five-Year Historical Performance | Monthly updated
* Disclaimer: Performance information is provided for informational purposes only and does not constitute a guarantee of future results. Returns are based on a combination of backtested simulations and limited live performance, have not been audited by an independent third party, and are net of assumed management fees of 1.5% per annum. Past performance is not indicative of future results. This material does not constitute a public offering of securities or an investment recommendation. Investments involve risks and may result in capital losses. Performance data as of December 31, 2025.
All caps strategy*
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Our strategy invests in diversified U.S.-listed equities, leveraging advanced Deep Reinforcement Learning to optimize portfolio construction and trade execution. The solution utilizes AI to select assets by capitalization and sector, aiming to outperform the Vanguard Total World Stock Index (VT) while enhancing risk-adjusted returns.
Defensive strategy*
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Focused on passive income generation, this strategy selects high-quality U.S. equities aimed at maximizing dividend yields. We leverage Deep Reinforcement Learning models to optimize sector diversification and capital allocation, employing cutting-edge AI to enhance the risk-return profile and trade execution efficiency.
Energy strategy*
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This specialized strategy focuses on the global energy sector through U.S.-traded equities, seeking to outperform the iShares Global Energy ETF (IXC). We apply Deep Reinforcement Learning to refine asset selection and market execution, ensuring dynamic portfolio management that prioritizes risk-return optimization within this specific segment.
Semiconductor strategy*
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Positioned at the forefront of technology, this strategy targets the global semiconductor market via U.S.-listed equities, aiming to deliver risk-adjusted outperformance against the SOXX index. We integrate Deep Reinforcement Learning agents to capture real-time opportunities, leveraging AI to enhance trading precision and overall portfolio efficiency.