SquirrelSave Reference Portfolios Doing Well Despite Headwinds
Delivered +15% to +25% Returns YTD end-Nov 2021
Dec 3, 2021
SquirrelSave delivered stellar performance in Nov 2021 despite headwinds
November saw US equity markets setting new record highs but fell abruptly at month-end due to fears over the emerging Omicron Covid-19 variant, stubbornly high inflation due to global supply constraints and worries about the Federal Reserve’s next steps.
- The S&P 500 index fell 3% from an all-time high, and closed Nov 2021 down 1%.
- The Dow Jones Industrial Average (DJIA) tumbled 3.7%.
Even then, SquirrelSave squeezed out extra returns in Nov 2021 to deliver +15% for the low risk Conservative SquirrelSave reference portfolio and +25% for the Very Aggressive SquirrelSave reference portfolio.
* Figures are inclusive of ETF expense ratios and net of SquirrelSave management fees. SquirrelSave uses AI to design and manage diversified investment portfolios for each investor. Because SquirrelSave is not an investment fund, there is no single return measure. Instead, every SquirrelSave investor has his/her own investment performance as each investor is managed separately by our SquirrelSave AI. As investors can withdraw and top-up any time, investment returns will be affected by individual investor decisions. Hence, SquirrelSave 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.
Invest Smarter at SquirrelSave!
The impressive returns demonstrate consistency of unbiased data-driven “Smart Investing” using SquirrelSave’s machine learning AI algorithms. Last tested by the Covid-market crash of Feb 2020, the same SquirrelSave AI reference portfolios which we track continuously here have continued to do well.
In our Mar 2020 blog “Covid-19: A Chance To Define Your Investment Behaviour”, we shared that opportunities arise when fear is present. At SquirrelSave, we use artificial intelligence (AI) to improve investment outcomes by replacing the alternating currents of human emotions - greed and fear – with real-time 24/7 data analytics.
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Our SquirrelSave 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.
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SquirrelSave AI Team
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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SquirrelSave ONE Dollar Reference Portfolios
+14% & +19 during Jan-Nov 2021
+21% & +33% in 18 months since May 2020
We track two actual ONE Dollar SquirrelSave portfolios which started in May 2020.
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SquirrelSave’s Reference Portfolios have risen +13% to +15% in the first 10 months of 2021, much higher than the estimated low single digits by competitors.