MENU
Go to the list of all blogs
Anna G's Avatar
published in Blogs
Oct 05, 2023
Life/Health Insurance Plunge: Dive -2.99%! $CNO, $UNM, $AFL, $AEL, $MFC and More!

Life/Health Insurance Plunge: Dive -2.99%! $CNO, $UNM, $AFL, $AEL, $MFC and More!

Life/Health Insurance Stocks Experience a 2.99% Decline!

πŸ“‰ Intro Description:
Life/Health insurance stocks are under pressure, seeing a loss of nearly 3%. With a "Strong Sell" rating backing most stocks in this category, traders need to exercise caution. A deeper dive will provide a better understanding of individual stocks and market movements.

πŸ“‰ Life/Health Insurance Sector Faces Challenges with a -2.99% Loss, but AI Robots Can Help You Minimize Losses! πŸ€–πŸ“ˆ

With AI-powered tools at your disposal, you can better navigate the Life/Health Insurance sector, mitigate potential losses, and make data-driven choices.

πŸ“Š "Swing Trader, Long Only: Valuation & Efficiency Model (TA&FA)" offers a strategic approach to valuation and efficiency within the sector. By leveraging AI insights, you can make more informed decisions and optimize your trading within this space.

🌟 "Swing Trader, Long Only: Valuation & Seasonality Model (TA&FA)" takes into account seasonality trends, allowing you to adjust your strategy based on historical patterns.

Stay ahead of market fluctuations with AI precision! πŸ’ΌπŸ“ŠπŸŒŸ

Tickers of this Group:
$CNO $UNM $AFL $AEL $MFC $PRU $MET $GNW $PUK $LNC $PRI $NWLI $BHF $FG $GL $ABL $BHFAN $BHFAO $BHFAP $JXN $BHFAM

🏒 Industry Description:

Life insurance companies offer policies that pay beneficiaries a lump sum upon the insured's death. These policies can be term or whole life. Life insurance firms might also provide long-term disability policies to replace income if the insured becomes sick or disabled. Health insurance helps cover medical expenses. Major players include Anthem, Inc., MetLife, Inc., and Aflac Incorporated.

πŸ“Š Market Cap:
The average market cap across this industry is 14.1B. Topping the list is $MET with a valuation of 46.4B, while $BHFAN stands at the lower end with zero.

πŸ“ˆ High and Low Price Notable News:
Price growth in the last week was -3.31% on average across all stocks in the sector. Monthly and quarterly price growth rates stand at -5.83% and 10.96% respectively. $ABL stands out with a positive growth of 2.36%, while $BHFAM declined the most, dropping 7.86%.

  • News Flashes:
    • $MET: Fell by 5.17% this week.
    • $LNC: Dropped by a staggering 9.54% this week.
    • $MFC: Experienced a decline of 5.56% this week.

πŸ”Š Volume:
Weekly volume growth averaged 8.92% across all stocks. Monthly and quarterly volume growth rates for the same set of stocks were 65.33% and 21.24% respectively.

  • Volume Highlights:
    • $CNO: Saw a record-breaking growth of 112% of the 65-Day Volume Moving Average.
    • $AEL: Experienced a record-breaking daily growth of 300% of the 65-Day Volume Moving Average.
    • $BHF: Recorded a record-breaking daily growth of 223% of the 65-Day Volume Moving Average.

πŸ“š Fundamental Analysis Ratings:

  • Valuation Rating: 53
  • P/E Growth Rating: 42
  • Price Growth Rating: 46
  • SMR Rating: 95
  • Profit Risk Rating: 69
  • Seasonality Score: 46

🌐 Notable Companies:
Prominent companies in this industry include MetLife ($MET), Prudential Financial ($PRU), Lincoln National Corp ($LNC), and Genworth Financial ($GNW).

πŸ“œ Ticker Analysis:

$CNO:

MACD Analysis: Turned negative on October 03, 2023, indicating a potential decline with a probability of 71%.

Stock Forecast: Price of $23.05 is trading between resistance of $24.64 and support of $21.07. Price fell by 2% in the last month.

$UNM:

Moving Average Analysis: Fell below its 50-day Moving Average on October 03, 2023. A downward trend is probable with 76% chances.

Stock Forecast: Current price of $48.15 is trading between support of $48.26 and resistance of $40.99. Price declined by 2% over the last month.
Β 

$AFL:

Momentum Indicator Analysis: Moved below the 0 level on October 02, 2023, signaling a probable shift to a new downward trend. The historical trend shows a 56% chance of a further decline.

Stock Forecast: The current price of $76.07 has surpassed the resistance line at $64.00 and is trading between support at $97.03 and resistance at $64.00. Over the last month, the price showed a +1% Uptrend, but declined by 1% in the past week.

$AEL:

Momentum Indicator Analysis: The indicator moved below the 0 level on September 25, 2023. This suggests a potential downward trend. Historically, in similar scenarios, the stock declined 68% of the time.

Stock Forecast: Currently trading at $53.40, the stock has crossed its resistance of $50.98. It's now positioned between the $58.39 resistance and $50.98 resistance lines. The past month witnessed a slight downtrend of -0.95%, with the stock falling -0.90% in the last week.

$MFC:

Moving Average Analysis: The 50-day Moving Average for MFC crossed below its 200-day moving average on September 29, 2023. This is typically seen as a long-term bearish signal.

Stock Forecast: The current stock price of $17.68 is trading between support at $17.93 and resistance at $14.80. In the last month, there has been a -5% downtrend, and in the past week, the stock has declined by 5%.

$PRU:

Trend Analysis: PRU is in a 3.74% downward trend, witnessing decline for three consecutive days as of October 03, 2023. Historically, 65% of similar situations led to further declines in the following month.

Stock Forecast: PRU, priced at $91.17, has crossed its support line at $88.99. It currently trades between the resistance at $123.23 and support at $88.99. Over the last month, a -4% downtrend was observed, with a 4% decline in the last week.

$MET:

Moving Average Analysis: The stock moved below its 50-day Moving Average on September 27, 2023, suggesting a shift from an upward trend to a downward one. There's a 59% likelihood of the stock continuing this downward trend based on past data.

Stock Forecast: With a current price of $59.99, it is below the lowest support line of $65.15 defined by A.I. The past month saw a -5% decline, with a weekly decline of -4%.

$GNW:

Moving Average Analysis: As of October 03, 2023, GNW moved below its 50-day Moving Average, indicating a potential change from an upward trend to a downward one. Historically, the stock has decreased 85% of the time in such scenarios.

Stock Forecast: Trading at $5.88, the stock has crossed its support at $5.27. It's now between the support of $6.88 and $5.27. The past month witnessed a -2% decline, with a similar -2% decrease in the past week.

Β 

Related Ticker: CNO, UNM, AFL, AEL, MFC, PRU, MET, GNW, PUK, LNC, PRI, NWLI, BHF, FG, GL, ABL, BHFAN, BHFAO, BHFAP, JXN, BHFAM

CNO's RSI Indicator recovers from overbought zone

The 10-day RSI Indicator for CNO moved out of overbought territory on February 09, 2026. This could be a sign that the stock is shifting from an upward trend to a downward trend. Traders may want to look at selling the stock or buying put options. Tickeron's A.I.dvisor looked at 37 instances where the indicator moved out of the overbought zone. In of the 37 cases the stock moved lower in the days that followed. This puts the odds of a move down at .

Price Prediction Chart

Technical Analysis (Indicators)

Bearish Trend Analysis

The Momentum Indicator moved below the 0 level on February 23, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on CNO as a result. In of 90 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 CNO turned negative on February 23, 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 48 similar instances when the indicator turned negative. In of the 48 cases the stock turned lower in the days that followed. This puts the odds of success at .

CNO moved below its 50-day moving average on March 05, 2026 date and that indicates a change from an upward trend to a downward trend.

The 10-day moving average for CNO crossed bearishly below the 50-day moving average on February 27, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In of 17 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 .

Following a 3-day decline, the stock is projected to fall further. Considering past instances where CNO 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

The Stochastic Oscillator suggests the stock price trend may be in a reversal from a downward trend to an upward trend. of 56 cases where CNO's Stochastic Oscillator exited the oversold zone resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are .

Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where CNO advanced for three days, in of 324 cases, the price rose further within the following month. The odds of a continued upward trend are .

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

The Tickeron PE Growth Rating for this company is (best 1 - 100 worst), pointing to outstanding earnings growth. The PE Growth rating is based on a comparative analysis of stock PE ratio increase over the last 12 months compared against S&P 500 index constituents.

The Tickeron Profit vs. Risk Rating rating for this company is (best 1 - 100 worst), indicating low risk on high returns. The average Profit vs. Risk Rating rating for the industry is 73, placing this stock better than average.

The Tickeron Price Growth Rating for this company is (best 1 - 100 worst), indicating steady price growth. CNO’s price grows at a higher rate over the last 12 months as compared to S&P 500 index constituents.

The Tickeron Valuation Rating of (best 1 - 100 worst) indicates that the company is fair valued in the industry. This rating compares market capitalization estimated by our proprietary formula with the current market capitalization. This rating is based on the following metrics, as compared to industry averages: P/B Ratio (1.506) is normal, around the industry mean (1.598). P/E Ratio (18.326) is within average values for comparable stocks, (19.186). CNO's Projected Growth (PEG Ratio) (0.000) is slightly lower than the industry average of (1.047). Dividend Yield (0.016) settles around the average of (0.038) among similar stocks. P/S Ratio (0.938) is also within normal values, averaging (1.330).

The Tickeron SMR rating for this company is (best 1 - 100 worst), indicating weak sales and an unprofitable business model. SMR (Sales, Margin, Return on Equity) rating is based on comparative analysis of weighted Sales, Income Margin and Return on Equity values compared against S&P 500 index constituents. The weighted SMR value is a proprietary formula developed by Tickeron and represents an overall profitability measure for a stock.

Notable companies

The most notable companies in this group are MetLife (NYSE:MET), Prudential Financial (NYSE:PRU), Lincoln National Corp (NYSE:LNC), Genworth Financial (NYSE:GNW).

Industry description

Life insurance companies mainly sell policies that pay a death benefit as a lump sum upon the death of the insured to their beneficiaries. Life insurance policies may be sold as term life, (which guarantees payment of a stated death benefit and expires at the end of a specified term) or permanent /typically whole life (which is more expensive but lasts a lifetime and carries a cash accumulation component). Life insurance firms may also sell long-term disability policies that help to replace the insured individual’s income if they become sick or disabled. Health insurance, on the other hand, helps pay for medical expenses. Anthem, Inc., MetLife, Inc. and Aflac Incorporated are some of the largest U.S. companies in this industry.

Market Cap

The average market capitalization across the Life/Health Insurance Industry is 26.55B. The market cap for tickers in the group ranges from 228.36K to 161.41B. CILJF holds the highest valuation in this group at 161.41B. The lowest valued company is GWGHQ at 228.36K.

High and low price notable news

The average weekly price growth across all stocks in the Life/Health Insurance Industry was -2%. For the same Industry, the average monthly price growth was -2%, and the average quarterly price growth was 9%. ABX experienced the highest price growth at 8%, while SLLDY experienced the biggest fall at -16%.

Volume

The average weekly volume growth across all stocks in the Life/Health Insurance Industry was 1,052%. For the same stocks of the Industry, the average monthly volume growth was -36% 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: 41
P/E Growth Rating: 58
Price Growth Rating: 53
SMR Rating: 86
Profit Risk Rating: 73
Seasonality Score: -36 (-100 ... +100)
View a ticker or compare two or three
CNO
Daily Signal:
Gain/Loss:
Interact to see
Advertisement
A.I.Advisor
published price charts
These past five trading days, the stock lost 0.00% with an average daily volume of 0 shares traded.The stock tracked a drawdown of 0% for this period. CNO showed earnings on February 05, 2026. You can read more about the earnings report here.
A.I. Advisor
published General Information

General Information

a provider of health and life insurance services

Industry LifeHealthInsurance

Profile
Fundamentals
Details
Industry
Life Or Health Insurance
Address
11825 N. Pennsylvania Street
Phone
+1 317 817-6100
Employees
3500
Web
https://www.cnoinc.com
Interact to see
Advertisement
Tickeron, a leader in AI-driven financial tools, today announced exceptional results from itsΒ AI Trading Agents, showcasing annualized returns ranging from 102% to 210% across various high-liquidity stocks and strategies.
#artificial_intelligence
Tickeron, a leader in AI-driven financial technology, today announced groundbreaking performance from its suite of AI Trading Agents. Powered by Financial Learning Models (FLMs), these agents have demonstrated exceptional returns, with top performers achieving annualized gains of up to 83% over periods ranging from 127 to 390 days.
#artificial_intelligence
Tickeron, a leader in AI-driven financial tools, today unveils its Top 10 Day Traders:Β AI Trading Robots, showcasing exceptional performance in volatile markets. Powered by advanced Financial Learning Models (FLMs), these robots integrate AI with technical analysis to deliver real-time insights for day traders.
#artificial_intelligence
Tickeron, a leader in AI-driven financial solutions, announces groundbreaking performance results for its CryptoΒ AI Trading Robots, achieving annualized returns of up to 85% forΒ ETH.X, 56% forΒ OM.X, and 49% forΒ XRP.XΒ in 2025, powered by advanced Financial Learning Models (FLMs).
#artificial_intelligence
Tickeron, a leader in AI-driven financial technology, today announced groundbreaking results from itsΒ AI Trading Agents, showcasing annualized returns as high as +84% across various stocks and portfolios.
#artificial_intelligence
Tickeron,Β a leader in AI-driven financial technology, today announced the launch of its advancedΒ 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 itsΒ 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 advancedΒ 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 itsΒ 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 itsΒ 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 advancedΒ 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 itsΒ 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 itsΒ 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 advancedΒ 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