CNO FINANCIAL GROUP INC stock forecast: down to 25.81 USD CNO stock price prognosis

STOCK

Forecast for Tue 18 Jun 2024 price 25.44

CNO FINANCIAL GROUP INC stock price forecast for further price development down to -3.90% (time horizon: 1 day) and price target of 25.81 USD. Short-term (time horizon: 2 weeks) CNO FINANCIAL GROUP INC share price prediction for 2024-06-18 with daily closed price projections

Key Facts

Symbol CNO 

ISIN US12621E1038 

CUSIP 12621E103

Currency USD

Category Insurance Agents, Brokers, And Service

Forecast price change %

Relative Strength Index (RSI)

Finance numbers

Revenue 4,109,000,000.0

Earnings per share 3.34

Dividends 0.48

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On our site we made daily predictions for finance products based on statistical analysis. You can export / download forecasted data as CSV file, no login required. The information can be used for day trading.

Candlestick patterns

Candlestick patterns can be used as additional information for price prediction. Following list show which pattern applies on latest price information.

  • Meta analyst score 73.78/100
    • Historical view, profit is not growing.
    • Company revenue is not growing faster compared with the industry.
    • Stock price is under book price value.

Institutional ownership list is based on filling form information

Holding name Date Amount
A - BARCLAYS PLC 2023-06-30 165214
VOYA INVESTMENT MANAGEMENT LLC 2022-09-30 154136
MetLife Investment Management, LLC 2022-12-31 129468
MetLife Investment Management, LLC 2022-09-30 130918
MetLife Investment Management, LLC 2022-06-30 132726

Fund ownership list is based on filling form information

Fund name Date Amount Profile
Pacer Funds Trust 2023-07-31 19936 Long
Delaware Group Equity Funds V 2023-11-30 1759730 Long
Voya Equity Trust 2023-11-30 11856 Long
Voya Equity Trust 2023-11-30 26645 Long
Prudential Jennison Blend Fund, Inc. 2023-11-30 59927 Long

CNO FINANCIAL GROUP INC holding

CUSIP Symbol Name Title Of Class Value in 1000's Amount
928563402 0 VMWARE INC CL A COM 43573 349
46429B655 0 ISHARES TR FLTG RATE NT ETF 7158706 142066
816307300 0 SELECTQUOTE INC COM 109585 50500
38046W204 0 GOHEALTH INC COM CL A 10842 666
78464A292 0 SPDR SER TR ICE PFD SEC ETF 23772000 700000

Insider trading for CNO FINANCIAL GROUP INC

CIK Name Date Action T-Test 1day T-Test 7day T-Test 14day T-Test 30day
1438233 Zimpfer Matthew J. 2024-03-11 SALE Reject Reject Reject Reject
1256029 Kline John R 2023-12-06 SALE Accept Accept Accept Accept
1740471 Goldberg Scott L. 2024-03-12 SALE Accept Accept Accept Reject
1614708 Bhojwani Gary C 2024-03-28 SALE Accept Accept Accept Reject
1571578 Tarasi Rocco F Iii 2024-03-28 SALE Reject Accept Accept Accept
1544064 Shebik Steven E 2023-05-17 BUY Reject Reject Reject Reject
1960364 Linnenbringer Jeanne L. 2023-12-05 SALE Reject Accept Accept Accept
1709782 Franzese Yvonne K 2024-03-28 SALE Accept Accept Accept Accept
1328599 Mcdonough Paul H. 2024-03-20 SALE Accept Accept Accept Accept
1789577 Detoro Karen 2024-03-26 SALE Accept Accept Accept 0
Assets / Liabilities

Bollinger Bollinger Bands for CNO FINANCIAL GROUP INC can provide the information where the market is moving based on price information.

CNO FINANCIAL GROUP INC Short Volume Ratio is shown in the diagram. Short volume sales can be seen as an investor sentiment.

Converting prices to returns CNO FINANCIAL GROUP INC.

On-Balance Volume information for CNO FINANCIAL GROUP INC. On-Balance Volume information can be an indicator for bullish or bearish outcome.

Accumulation / Distribution (A/D) indicator information for CNO FINANCIAL GROUP INC. The indicator identify divergences between price and volume flow.

Aroon Oscillator information for CNO FINANCIAL GROUP INC. The trend-following indicator can show the strengh of a current trend and likelihood that trend can continue.

Average Directional Index (ADX) information for CNO FINANCIAL GROUP INC. The index can be used to identify the strengh of a trend.

Moving Average Convergence Divergence (MACD) for CNO FINANCIAL GROUP INC. The indicator helps to predict trend direction and the momentum of the trend.

Stochastic Oscillator as momentum indicator for CNO FINANCIAL GROUP INC. The indicator is useful for identifying overbought and oversold levels.

Relative Strength Index (RSI) for CNO FINANCIAL GROUP INC. RSI is a momentum oscillator that measures the speed and change of price development. The momentum indicator was created by analyst Welles Wilder. The result compares recent gains and losses over restricted time period. Primary usage of the indicator is to identify overbought or oversold signals. When RSI indicator reaches a value of 70 it could mean that speculators should consider selling, suggests Wilder and Chong. Or vice versa when selling excess at which the RSI Indicators show a value of 30 [ Relative Strength Index for Developing Effective Trading Strategies in Constructing Optimal Portfolio ].

Heikin Ashi trading signals are generated based on the Heikin Ashi candles, which are a type of candlestick that smooths out the price action and can help to identify trends. Heikin Ashi signals can be used to identify both long and short trading opportunities.

The awesome oscillator is a momentum indicator that measures the speed and strength of price movements. It is calculated by subtracting a 34-period simple moving average (SMA) from a 5-period SMA.

The Parabolic SAR indicator is a trend-following indicator that uses a series of dots to indicate when a trend is likely to reverse. The Parabolic SAR is a lagging indicator, meaning that it does not predict reversals, but rather confirms them after they have already occurred.

Moving Average Crossover

52W High 52W Low Market Cap

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ERIE INDEMNITY CLASS A

CNO FINANCIAL GROUP INC on Nasdaq

CNO FINANCIAL GROUP INC on finviz

Figure below show the stock predictions.
Date Closing price Prediction was updated
2024-05-24 25.81 2024-04-23 11:21
2024-05-22 25.86 2024-04-23 11:21
2024-05-23 25.84 2024-04-23 11:21
2024-05-20 25.93 2024-04-23 11:21
2024-05-21 25.89 2024-04-23 11:21
2024-06-07 25.58 2024-04-23 11:21
2024-05-30 25.72 2024-04-23 11:21
2024-05-27 25.79 2024-04-23 11:21
2024-05-28 25.77 2024-04-23 11:21
2024-05-29 25.75 2024-04-23 11:21
2024-06-05 25.63 2024-04-23 11:21
2024-06-03 25.67 2024-04-23 11:21
2024-06-04 25.65 2024-04-23 11:21
2024-05-31 25.70 2024-04-23 11:21
2024-06-06 25.61 2024-04-23 11:21
2024-06-10 25.56 2024-04-23 11:21
2024-06-11 25.54 2024-04-23 11:21
2024-06-12 25.52 2024-04-23 11:21
2024-06-17 25.46 2024-04-23 11:21
2024-06-18 25.44 2024-04-23 11:21
2024-06-13 25.50 2024-04-23 11:21
2024-06-14 25.48 2024-04-23 11:21
2024-05-13 26.10 2024-04-23 11:21
2024-05-14 26.06 2024-04-23 11:21
2024-05-15 26.01 2024-04-23 11:21
2024-04-25 26.41 2024-04-23 11:21
2024-04-26 26.49 2024-04-23 11:21
2024-05-16 25.98 2024-04-23 11:21
2024-04-24 26.43 2024-04-23 11:21
2024-05-02 26.27 2024-04-23 11:21
2024-05-08 26.13 2024-04-23 11:21
2024-05-09 26.13 2024-04-23 11:21
2024-05-03 26.19 2024-04-23 11:21
2024-04-29 26.42 2024-04-23 11:21
2024-04-30 26.36 2024-04-23 11:21
2024-05-01 26.30 2024-04-23 11:21
2024-05-17 25.95 2024-04-23 11:21
2024-05-06 26.18 2024-04-23 11:21
2024-05-07 26.14 2024-04-23 11:21
2024-05-10 26.10 2024-04-23 11:21

The forecast (dashed curve) of the share price performance is based on historical data. Our forecast model is based on mathematical, statistical methods. The website offers price forecasts and analysis tools for equities and other securities, which are exclusively based on the prices of these securities in the past. Information about these prices is provided to us by third parties. Although we believe, If we believe that our sources are reliable, we cannot guarantee the accuracy, completeness, timeliness and correct sequencing of this information. We do not investigate the issuers of the securities to which our forecasts relate, nor do we consider any financial data or other data of such issuers with the exception of the past prices of the securities. Therefore, our forecasts do not constitute an analysis of other commercial or financial factors or circumstances, that may be relevant for future security price flows. Investments require additional considerations. Our forecasts cannot reflect the specific situation. Experience and risk profile of an individual investor or the tax implications an investment may have for the investor. Although we believe that our mathematical models are a tool to try to explore the possibility for future price development with the help of past performance, such developments are subject to a multitude of different influences. and therefore not really predictable. We cannot guarantee the success of any investment you make based on the information published here. This website is for information purposes only. All information and data on this website cannot be guaranteed to be accurate, accuracy, completeness and appropriateness - neither explicit nor implicit.