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Swiss Excellence: Best of SMI
Best of SMI powered by AI Made in Switzerland
Transforming Institutional Investment with AI-Powered Strategies.
Navigating today's investment landscape
In today's dynamic and unpredictable investment environment, institutional and professional investors encounter significant challenges. The pursuit of consistent returns, effective risk management, and adept market navigation demands not only expertise but also advanced tools. In response to these complexities, aisot introduces the "Best of SMI" portfolio, offering an AI-powered approach to achieving financial success. This cutting-edge investment instrument is designed to meet the sophisticated needs of professional investors, utilizing state-of-the-art AI technologies to redefine portfolio management.
Product description
The portfolio "Best of SMI" represents key segments of the Swiss market and stands for innovation. It can include the stocks of ABB, Georg Fischer, Sika, Roche, Lonza, Nestlé, Novartis, and UBS. These companies are selected for their strong market presence, innovation leadership, and robust financial health, making them ideal candidates for long-term growth and stability. By leveraging machine learning, quantitative techniques, the strategy's portfolio weights are dynamically optimized and rebalanced monthly. The portfolio incorporates up to a 45% cash component to manage drawdowns.
Demonstrated performance
From January 1, 2021, to June 10, 2024, the AI-optimized portfolio "Best of SMI" achieved an annualized performance of 11.86%, compared to the SMI's annualized 4.01% performance. The AI-optimized portfolio has an annualized volatility of 13.48%, which is more or less the same as the SMI (12.78%).
01 January 2021 - Monday, 10 June 2024, back-tested results, net of trading fees
![performance-1 performance-1](https://aisot.com/hubfs/performance-1.png)
Best of SMI | SMI | |
Sharpe Ratio A | 0.8991 | 0.3717 |
Sortino Ratio A | 1.2844 | 0.5237 |
Max Drawdown | -0.1867 | -0.2234 |
Annualized Volatility | 0.1348 | 0.1278 |
Annualized Return | 0.1186 | 0.0401 |
Dynamically optimized weights
Historic portfolio composition: 01 January 2021 - Monday, 10 June 2024
![best of SMI aisot historic monthly best of SMI aisot historic monthly](https://aisot.com/hubfs/best%20of%20SMI%20aisot%20historic%20monthly.png)
Agile & responsive: Utilizing machine learning, quantitative techniques, and the latest LLM sentiment analysis, the certificate's portfolio weights are dynamically optimized. A monthly rebalancing mechanism ensures agility and responsiveness to market shifts, maintaining optimal performance.
Key features
The "Best of SMI" portfolio dynamically optimizes key Swiss stocks using AI and includes up to 45% cash to manage volatility.
1. Market leadership
Companies are chosen based on their significant influence and leadership in their respective sectors, ensuring a robust and stable investment foundation.
2. Innovation focus
The portfolio targets companies known for their innovative approaches and consistent investment in research and development, positioning them for sustained growth.
3. Financial strength
Stocks are selected based on strong financial performance, solid balance sheets, and reliable earnings, providing a cushion against market volatility.
4. Diversified exposure
By including a mix of industries such as healthcare, consumer goods, and industrials, the portfolio achieves a balanced exposure, reducing sector-specific risks.
Clients & Partners
![gentwo new](https://aisot.com/hs-fs/hubfs/gentwo%20new.png?width=300&height=300&name=gentwo%20new.png)
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![4-Jul-13-2023-04-52-44-7385-PM](https://aisot.com/hs-fs/hubfs/4-Jul-13-2023-04-52-44-7385-PM.png?width=300&height=300&name=4-Jul-13-2023-04-52-44-7385-PM.png)
![uxwp 300](https://aisot.com/hs-fs/hubfs/uxwp%20300.png?width=300&height=300&name=uxwp%20300.png)
![7-Jul-13-2023-04-57-31-2219-PM](https://aisot.com/hs-fs/hubfs/7-Jul-13-2023-04-57-31-2219-PM.png?width=300&height=300&name=7-Jul-13-2023-04-57-31-2219-PM.png)
![8-Jul-13-2023-04-57-31-2338-PM](https://aisot.com/hs-fs/hubfs/8-Jul-13-2023-04-57-31-2338-PM.png?width=300&height=300&name=8-Jul-13-2023-04-57-31-2338-PM.png)