Sep 2021 SqSave Reference Portfolios Outperform
+11% to +15% YTD end-Sep 2021

Oct 5, 2021

SqSave outperformed despite a very challenging September!

Seasonally, September tends to be the worst performing month of the year. SqSave has managed to perform well despite headwinds.

September 2021 Highlights

► USA market benchmark S&P 500 worst monthly performance since March 2020

► US-China tensions continued to spook markets

► Commodity markets rising amidst a global energy crunch, with coal shortages in China

► Negative sentiment over fears of contagion from China’s Evergrande debt crisis

► Market nervous about US Fed tapering and possible rate hikes ahead

Despite a tough September 2021, SqSave’s Reference Portfolios managed the overall downside well to outperform with 11% to 14% gains YTD versus low single digit and even negative YTD returns based on competitor estimates.

**Single portfolio (investment size > SGD15K)
***Competitor data are estimates

* 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.

Correction already happened?

Worth noting that over 70% of the S&P 500 components have corrected at least 10% with 29% recovering from falls of almost 20%. Among smaller companies represented by the small-cap Russell 2000, 88% of its components have fallen over 10% with 70% falling 20% or more.

Looking ahead…

Markets may see volatility ahead of a possible US government shutdown, though unlikely.

Notwithstanding, SqSave will continue to target risk-managed returns using our proprietary AI machine learning asset allocation engine to manage investment risks. That’s what Smart Investing is about.

Invest Smarter at SqSave! Even with ONE Dollar!

Yes, SqSave offers global portfolios from as low as ONE Dollar. With this advantage, you can give a life-long gift to your loved ones and friends right from your sofa using SqSave’s “Gift-a-Portfolio”. Find out more at https://www.sqsave.com/gift-a-portfolio.html.https://bit.ly/gift-a-portfolio.

Our quantitative AI has more flexibility (“degree of freedom” in mathematics speak) for larger investment amounts. We recommend SGD15,000 or more to take full advantage of our AI and data analytics.

Sign-up at www.sqsave.com from wherever you are!

Regards,
SqSave Quantitative AI Team

Disclaimer

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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