Experience the Future of Investing with Machine Learning driven strategies
All our products can be bought via your bank. Please follow the links below or get in touch in case you have any questions.
Z22 Smart Mirror AMC
Defensive strategy consisting of US Equities (S&P 500) combined with a statistical tail hedge.
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The Z22 Smart Mirror strategy is a Machine Learning-driven investment strategy that combines US equities (S&P 500) with a statistical tail hedge (Z22 VolaBoost). The strategy is designed for investors who want to participate in the potential upside of the US equity market while having an emotionless and systematically implemented tail hedging component in the strategy. The statistical tail hedge (Z22 VolaBoost) is implemented via long volatility ETFs tracking the VIX Futures.
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Z22 Smart Mirror offers an innovative investment strategy for investors looking for defensive exposure on the US Equity market.
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Links:
USD-Tranche: Link UBS KeyInvest
CHF-Tranche: Link UBS KeyInvest
EUR-Tranche: Link UBS KeyInvest
Z22 Smart Equity Fund
Machine Learning driven volatility strategies on top of S&P 500.
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The Z22 Smart Equity Fund is an investment strategy designed for equity investors seeking exposure to the US equity market in combination with volatility and tail hedging strategies. The program implements long, neutral, and short positions in the VIX futures. The program uses S&P 500 (SPY US) as collateral to increase capital efficiency.
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The Z22 Smart Equity Fund offers an innovative investment strategy that seeks to generate alpha using a machine learning-driven volatility strategies while offering its investors a long exposure to the US equity market.
Links:
Z22 Titan Fund
Machine Learning driven volatility strategy.
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The Z22 Titan Fund is an investment strategy designed for investors seeking exposure to a machine learning-driven volatility strategies on traditional markets while aiming for uncorrelated absolute returns. The program implements long, neutral, and short positions across multiple asset classes, including equities, commodities, fixed income, currencies and volatility. The Z22 Titan Fund aims to offer low correlation with traditional assets and therefore is an interesting alternative for diversifying any portfolio.
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The Z22 Titan Fund offers an innovative investment strategy that seeks to generate uncorrelated absolute returns using a machine learning-driven volatility strategies on traditional markets.
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Links:
C22 Strategy
Machine Learning driven crypto volatility strategy.
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The C22 Strategy is a Machine Learning-driven crypto volatility strategy that utilizes a systematic approach to long and short futures (perpetuals) trading in the crypto space. The program is designed for investors who are seeking exposure to a novel risk factor in the crypto space that is uncorrelated to long-only crypto exposure. The C22 Strategy is able to achieve low correlation to traditional assets and the crypto market, with a correlation of 0.07 to BTC and -0.05 to the S&P 500.
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The C22 Strategy offers an interesting opportunity for investors looking for exposure to the crypto space, with a focus on low correlation to traditional assets and the crypto market.
Z22 Dynamic Resilience
Machine Learning driven all weather portfolio.
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Z22 Dynamic Resilience is designed for investors seeking a stable, long-only ETF allocation with an intelligent machine learning-driven tactical overlay. The program is implemented via cost-efficient ETFs across multiple asset classes, including equities, commodities, fixed income, and currencies, to provide exposure to the traditional asset class.
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The program's approach involves defining a strategic base allocation that performs well in all market cycles, combined with a Machine Learning-driven tactical overlay that aims to create extra returns above the static baseline portfolio. This dynamic ETF strategy seeks to take advantage of market inefficiencies and trends by adjusting the portfolio's allocation based on quantitative signals generated by Machine Learning algorithms.
Overall, Z22 Dynamic Resilience offers a stable investment strategy with a Machine Learning-driven tactical overlay that seeks to generate additional returns.
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