SQSAVE PERFORMANCE UPDATE
Reference Portfolios +12% to +16% YTD end-July 2021
Aug 5, 2021
Photo by Tara Winstead from Pexels
Rose further in July 2021…
Across all risk classes we track, the Very Aggressive reference portfolio which has more than SGD15,000 invested, had a significant jump in July 2021.
* Figures are inclusive of ETF expense ratios and net of SqSave management fees. SqSave uses AI to design and manage diversified investment portfolios for each investor. Because SqSave is not an investment fund, there is no single return measure. Instead, every SqSave investor has his/her own investment performance as each investor is managed separately by our SqSave AI. As investors can withdraw and top-up any time, investment returns will be affected by individual investor decisions. Hence, SqSave uses reference portfolios which are actual portfolios managed on an ongoing basis, without any interference with withdrawals or top-ups, to measure investment performance.
** Single portfolio investment amount more than SGD15,000
*** Performance numbers for competitors are estimates.
Let AI work for you!
Although SqSave can design global portfolios from as low as ONE Dollar, our quantitative AI has more flexibility (“degree of freedom” in mathematics speak) for significantly larger sized portfolios. So, take advantage of AI and data analytics which was not possible for the average person just 5 years ago!
Focus on medium to long-term returns…
To be clear, SqSave is not a trading system targeting short-term returns. SqSave is our machine-driven asset allocation engine that focuses on navigating investment risks for the medium to long term. That’s what we believe Smart Investing should be about.
Invest Smarter at SqSave! Even with ONE Dollar!
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Gift-a-Portfolio and share Smart Investing with others!
You can now give a life-long gift to your loved ones and friends, even to causes close to your heart! SqSave has introduced “Gift-aPortfolio” which allows you to gift a SqSave portfolio online to someone else, anywhere in the world! Find out more at https://www.sqsave.com/gift-a-portfolio.html.
SqSave Quantitative AI Team
Victor Lye BBM CFA CFP®
Founder & CEO
Yuan Baosheng PhD (NUS)
Computational Finance Strategist
Liu Yonghao MSc (Financial Engineering)
The contents herein are intended for informational purposes only and do not constitute an offer to sell or the solicitation of any offer to buy or sell any securities to any person in any jurisdiction. No reliance should be placed on the information or opinions herein or accuracy or completeness, for any purpose whatsoever. No representation, warranty or undertaking, express or implied, is given as to the information or opinions herein or accuracy or completeness, and no liability is accepted as to the foregoing. Past performance is not necessarily indicative of future results. All investments carry risk and all investment decisions of an individual remain the responsibility of that individual. All investors are advised to fully understand all risks associated with any kind of investing they choose to do. Hypothetical or simulated performance is not indicative of future results. Unless specifically noted otherwise, all return examples provided in our websites and publications are based on hypothetical or simulated investing. We make no representations or warranties that any investor will, or is likely to, achieve profits similar to those shown, because hypothetical or simulated performance is not necessarily indicative of future results.
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