Go to the list of all blogs
Sergey Savastiouk's Avatar
published in Blogs
Mar 02, 2021
Americans are Grossly Underprepared for Retirement

Americans are Grossly Underprepared for Retirement

Americans believe in a well-documented path to retirement: work hard, save money (maybe using the 401(k) offered by your employer), and say goodbye to the daily grind in your early-to-mid 60s. MassMutual’s 2018 State of the American Family survey pegs the average age Americans plan to retire at 62, a full two years younger than 2013’s survey, with 47 percent of participants (a two percent increase) expressing confidence they could retire when they wanted to. But there’s a problem: despite optimism about retiring early, most people do not have the plan, nor the savings, to do so.

Planning retirement is of vital importance. MassMutual’s survey indicates that only 36 percent of participants had created a savings plan, with 24 of the 36 percent staying committed to it – figures that don’t bode well for a worry-free post-work life. It is well worth the time to map everything out using a retirement calculator or through some basic calculations.

The first step to creating a plan is evaluating life expectancy. Naturally, it’s very difficult to accurately predict this, but after taking health, lifestyle factors, family history, and more into account can help develop a rough estimate. Subtracting your ideal retirement age from perceived life expectancy shows how many years to save for.

Next, establish living expenses in retirement. While these can be ever-shifting, a ballpark figure is necessary – as is periodically reevaluating savings goals for accuracy. To get a rough estimate, take current monthly expenses, factor in expenses that might not be necessary in retirement (child-related, commute, down-sizing a home, etc.) and multiply by 12 to calculate a yearly savings goal. Multiply this figure by the total number of years to save for as calculated above, taking average yearly inflation of 3 percent into account.

You may even be entitled to some help – certain employers offer 401(k) matching. There are also Social Security benefits, determined via your 35 highest-earning years, which are accessible at 62 but typically kick in in full around 66 or 67 (and you can even delay benefits earlier for larger amounts later). Sign up for a My Social Security account to get an estimate of your eventual benefits, multiply by the number of retirement years, and subtract the resulting amount from the previously-calculated total for a better snapshot of your savings goal. Use that figure to determine a monthly savings amount, keeping in mind the benefits of compound interest (though it is helpful to estimate more conservatively and be pleasantly surprised than the alternative).

And don’t despair – there’s hope even if you are behind the eight ball on retirement savings. While saving for retirement earlier provides a greater margin for error (and means having the ability to contribute less per paycheck), you can make up for lost time by increasing short-term contributions. Catch-up contributions are also an option; worst case, you can push your retirement back to save more. Retirement is an attainable goal – if you don’t go in blind.

Looking for Fresh Investment Ideas? See How Algorithms and A.I. Can Help

Want to invest and/or diversify your portfolio but unsure where to start? Artificial Intelligence can help! Tickeron has developed user friendly Artificial Intelligence tools to help new and experienced investors generate investment ideas. Tickeron’s A.I. is capable of evaluating a portfolio and providing a “Diversification Score,” to tell the user how well-diversified their portfolio is. It can also generate investment ideas for a user’s 401(k) plan – even if you’re just getting started! The A.I. will give you ideas based on your risk tolerance, investment objectives, and the investment options available.

Tickeron’s new financial website is available to beginners, intermediate investors, and even experts and advisors. Explore tickeron.com today.

Related Ticker: SPY

SPY in downward trend: 10-day moving average broke below 50-day moving average on February 23, 2026

The 10-day moving average for SPY crossed bearishly below the 50-day moving average on February 23, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In of 14 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are .

Price Prediction Chart

Technical Analysis (Indicators)

Bearish Trend Analysis

The Stochastic Oscillator may be shifting from an upward trend to a downward trend. In of 71 cases where SPY's Stochastic Oscillator exited the overbought zone, the price fell further within the following month. The odds of a continued downward trend are .

The Momentum Indicator moved below the 0 level on March 03, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on SPY as a result. In of 70 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 March 02, 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 54 similar instances when the indicator turned negative. In of the 54 cases the stock turned lower in the days that followed. This puts the odds of success at .

SPY moved below its 50-day moving average on February 27, 2026 date and that indicates a change from an upward trend to a downward trend.

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 .

Bullish Trend Analysis

Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where SPY advanced for three days, in of 367 cases, the price rose further within the following month. The odds of a continued upward trend are .

SPY may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.

Notable companies

The most notable companies in this group are NVIDIA Corp (NASDAQ:NVDA), Apple (NASDAQ:AAPL), Alphabet (NASDAQ:GOOG), Alphabet (NASDAQ:GOOGL), Microsoft Corp (NASDAQ:MSFT), Amazon.com (NASDAQ:AMZN), Meta Platforms (NASDAQ:META), Tesla (NASDAQ:TSLA), Broadcom Inc. (NASDAQ:AVGO), Walmart (NASDAQ:WMT).

Industry description

The investment seeks to provide investment results that, before expenses, correspond generally to the price and yield performance of the S&P 500® Index. The trust seeks to achieve its investment objective by holding a portfolio of the common stocks that are included in the index (the “Portfolio”), with the weight of each stock in the Portfolio substantially corresponding to the weight of such stock in the index.

Market Cap

The average market capitalization across the State Street® SPDR® S&P 500® ETF ETF is 142.25B. The market cap for tickers in the group ranges from 5.01B to 4.49T. NVDA holds the highest valuation in this group at 4.49T. The lowest valued company is CZR at 5.01B.

High and low price notable news

The average weekly price growth across all stocks in the State Street® SPDR® S&P 500® ETF ETF was 22%. For the same ETF, the average monthly price growth was 41%, and the average quarterly price growth was 167%. CF experienced the highest price growth at 15%, while FICO experienced the biggest fall at -20%.

Volume

The average weekly volume growth across all stocks in the State Street® SPDR® S&P 500® ETF ETF was 119%. For the same stocks of the ETF, the average monthly volume growth was -12% and the average quarterly volume growth was 0%

Fundamental Analysis Ratings

The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows

Valuation Rating: 58
P/E Growth Rating: 51
Price Growth Rating: 48
SMR Rating: 50
Profit Risk Rating: 57
Seasonality Score: -10 (-100 ... +100)
View a ticker or compare two or three
SPY
Daily Signal:
Gain/Loss:
Interact to see
Advertisement
A.I.Advisor
published price charts
These past five trading days, the ETF lost 0.00% with an average daily volume of 0 shares traded.The ETF tracked a drawdown of 0% for this period.
A.I. Advisor
published General Information

General Information

Category LargeBlend

Profile
Fundamentals
Details
Category
Large Blend
Address
PDR Services, 86 Trinity PlaceNew York
Phone
N/A
Web
www.spdrs.com
Interact to see
Advertisement
Financial Learning Models (FLMs) and machine learning (ML) to operate at unprecedented speeds. These agents, now optimized for 5-minute (M5) timeframes, have demonstrated extraordinary annualized returns, with the top agent exceeding +160%.
AI-Driven Market Insights A.I.dvisor’s latest analysis compares SPY and VOO, two leading ETFs, revealing near-identical year-to-date (YTD) gains of 9.82% for SPY and 9.87% for VOO, a 99% parity.
Tickeron, a leader in AI-driven financial technology, today announced the launch of its advanced AI Trading Agents. These innovative brokerage agents provide real-time trading signals powered by machine learning, utilizing tick-level brokerage data and precise trade amounts across 5-, 15-, and 60-minute timeframes.
#artificial_intelligence
Tickeron, a leading innovator in AI-driven financial technology, today announced groundbreaking results from its AI Trading Agents, showcasing exceptional performance in real-time trading signals powered by machine learning. Utilizing tick-level brokerage data and precise trade amounts, these agents operate on 5-, 15-, and 60-minute timeframes to provide traders with actionable insights in volatile markets.
#artificial_intelligence
Tickeron, a leading innovator in AI-driven financial technology, today announced the launch of its advanced AI Trading Agents. These cutting-edge brokerage agents deliver real-time trading signals powered by machine learning, leveraging tick-level brokerage data and precise trade amounts across 5-, 15-, and 60-minute timeframes. Designed to empower traders with superior insights, the agents have demonstrated exceptional performance, including annualized returns as high as 82%.
#artificial_intelligence
The financial markets have undergone a profound transformation in recent years, driven by the integration of artificial intelligence (AI) into trading strategies. As a financial analyst, writer, and AI specialist, one observes that AI trading agents represent a pinnacle of this evolution, blending machine learning algorithms with real-time data analysis to execute trades with unprecedented precision.
#artificial_intelligence
AI trading represents a revolutionary shift in how financial markets operate, combining artificial intelligence, machine learning, and sophisticated algorithmic trading strategies to execute trades with unprecedented precision and speed.
#artificial_intelligence
Tickeron, a leader in AI-driven financial tools, today announced exceptional trading results from its AI Trading Agent focused on Hubbell Incorporated (HUBB). The agent, operating on a 5-minute timeframe, delivered a +105% annualized return, starting from an initial balance of $100,000.
#artificial_intelligence
Tickeron, a leader in AI-driven financial technology, today announced the launch of its advanced AI Trading Agents, delivering real-time trading signals and sophisticated money management for retail and institutional traders. Powered by Financial Learning Models (FLMs) and machine learning, these agents operate across 5-, 15-, and 60-minute timeframes, achieving annualized returns of up to 145% on select portfolios.
#artificial_intelligence
Tickeron, a leading innovator in AI-driven financial technology, today announced the exceptional performance of its AI Trading Agents, achieving annualized returns of up to 162%, profitable trade percentages as high as 90.51%, and a robust profit factor across multiple assets.
#artificial_intelligence
Tickeron, a leading innovator in AI-driven financial technology, proudly announces the exceptional performance of its AI Trading Agents, delivering annualized returns of up to 188% on a 5-minute timeframe.
#artificial_intelligence
Tickeron, a leader in AI-driven financial tools, today announced the launch of its advanced Pattern Search Engine (PSE), a revolutionary platform that scans 39 distinct trading patterns across stocks, penny stocks, ETFs, crypto, and forex.
#artificial_intelligence
AI trading bots represent the pinnacle of financial technology innovation, transforming how traders and investors interact with global markets.
#artificial_intelligence
As a financial analyst, writer, and AI specialist, I've always pushed for innovations that merge artificial intelligence with actionable trading tools. In the fast-paced world of modern markets, where volatility demands quick decisions, Tickeron's new "My Trades Aggregator (from AI Robots Followed)" aggregator stands out as a revolutionary feature.
#artificial_intelligence#trading
Tickeron, a leading provider of AI-driven trading solutions, is thrilled to announce the exceptional performance of its AI Trading Agents, delivering outstanding results across multiple high-profile stocks.
#artificial_intelligence
Tickeron, a leader in AI-driven financial technologies, today announced groundbreaking results from its AI Crypto Trading Virtual Agents. These innovative tools provide real-time trading signals, integrated money management, and customizable balances, all powered by advanced machine learning algorithms operating on 5-, 15-, and 60-minute timeframes.
#artificial_intelligence
Tickeron, a leading innovator in AI-driven financial technologies, today announced the launch of its advanced AI Trading Brokerage Agents. These cutting-edge tools deliver real-time trading signals powered by machine learning, utilizing tick-level brokerage data and precise trade amounts across 5-, 15-, and 60-minute timeframes.
#artificial_intelligence
This remarkable rally represents far more than typical market volatility – it signals a fundamental transformation in investor sentiment toward AI connectivity infrastructure and the critical role of semiconductor-based solutions in enabling next-generation artificial intelligence systems
Tickeron, a leader in AI-driven financial tools, today announced the launch of its comprehensive subscription package combining AI Trading Robots for cryptocurrencies with Real-Time Patterns (RTP) analysis.
#artificial_intelligence
Kinross Gold Corporation (KGC), a leading Canada-based gold producer, yielded approximately 2.1 million gold equivalent ounces in 2024.
#artificial_intelligence