Planning for retirement can be daunting. After all, there are myriad variables to consider – the kind of post-work lifestyle you would like to maintain, the cost of living where you retire to, ongoing inflation, whether you will be collecting Social Security (and, if so, how much), among others – that are not only difficult to calculate, but difficult to even estimate accurately.
In a Wall Street Journal report, two Duke University professors – of behavioral economics and behavioral science – organized a study where they invited “hundreds of people – of different age groups, income levels, and professions – to [their] research lab and asked them how much of their salary they thought they would need in retirement.” Most participants pegged the amount at 70%, but not because they sat down to parse the numbers, but “because they recalled hearing it at some point...and they simply regurgitated it on demand.”
To calculate an actual (not perceived) figure, the professors, Dan Ariely and Aline Holzwarth, “took another group of participants, and asked them specific questions about how they wanted to spend their time in retirement,” then used the data to “[attach] reasonable numbers to their preferences and computed what percentage of their salary they would actually need to support the kind of lifestyle they imagined.” The actual percentage – 130% – almost doubled the conventional wisdom. While initially surprising, the figure makes sense: besides generating income, work is “a very cheap activity” by virtue of employer-covered expenses, like food and drink. Retirement, however, is perpetual free time – and countless opportunities to spend money that would not have been spent while in the workforce.
Ariely and Holzwarth then partnered with fintech company MoneyComb to devise a better way to determine retirement spending. They came up with “seven spending categories: eating out, digital services, recharge, travel, entertainment and shopping, and basic needs” to guide the process, then recommended “[imagining] that every day was the weekend” when estimating spending in each. As a baseline, they suggest visualizing a year in retirement spent “[living]…in the best way you can imagine” – making sure to clarify this “doesn’t necessarily mean ‘more expensive.’” Once each category is calculated and totaled, the number can be multiplied by years of expected retirement – usually around 20 – to determine a savings goal.
By examining each category realistically, future retirees can develop a true picture of their ideal post-retirement life, then develop a roadmap to make it happen. Whether this necessitates lifestyle adjustments in the present, a recalibration of idealized expectations, or a rejiggering of an investment portfolio, thinking about retirement in this way can make that retirement goal obtainable rather than a future casualty of poor planning.
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Sergey Savastiouk, Ph.D. has a degree in Applied Mathematics from Moscow University and has extensive experience as an entrepreneur, investor, manager, and mathematician. His professional expertise is in applied mathematics, mathematical modeling, system and pattern analysis, and software and hardware system integration. He has served as the CEO of several hi-tech start-up companies and nonprofit organizations, which has given him proven capabilities in business strategy for high-tech start-up companies, market assessment, company formation, team building, product development, marketing, and sales. He has published numerous articles in journals and magazines on related fields. As a retail investor, he spent 15 years developing his proprietary trading and quantitative algorithms (now Tickeron’s A.I.), which brought him significant returns in trading the stock market. His current work and goal in founding Tickeron is to bring professional, sophisticated stock market analysis capabilities to retail investors via an easy-to-use interface.
SPY broke above its upper Bollinger Band on August 04, 2026. This could be a sign that the stock is set to drop as the stock moves back below the upper band and toward the middle band. You may want to consider selling the stock or exploring put options. The A.I.dvisor looked at 40 similar instances where the stock broke above the upper band. In of the 40 cases the stock fell afterwards. This puts the odds of success at .
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The Momentum Indicator moved below the 0 level on August 18, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on SPY as a result. In of 76 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are .
The Moving Average Convergence Divergence Histogram (MACD) for SPY turned negative on August 20, 2026. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 52 similar instances when the indicator turned negative. In of the 52 cases the stock turned lower in the days that followed. This puts the odds of success at .
Following a 3-day decline, the stock is projected to fall further. Considering past instances where SPY declined for three days, the price rose further in of 62 cases within the following month. The odds of a continued downward trend are .
The Stochastic Oscillator demonstrated that the ticker has stayed in the oversold zone for 2 days, which means it's wise to expect a price bounce in the near future.
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Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where SPY advanced for three days, in of 362 cases, the price rose further within the following month. The odds of a continued upward trend are .
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
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