Kimberly-Clark stock forecast: up to 133.69 USD KMB stock price prognosis

STOCK

Forecast for Fri 19 May 2023 price 134.05

Kimberly-Clark stock price forecast for further price development up to 2.46% (time horizon: 1 day) and price target of 133.69 USD. Positive news sentiment. Short-term (time horizon: 2 weeks) Kimberly-Clark share price prediction for 2023-05-19 with daily closed price projections

Key Facts

Symbol KMB 

ISIN US4943681035 

CUSIP 494368103

Currency USD

Category Converted Paper & Paperboard Prods (No Containers/Boxes)

Forecast price change %

News sentiment (0.71)

News <--> Close correlation for next day influence (-0.06)

Finance numbers

Revenue 18,874,000,000.0

Earnings per share 6.67

Dividends 4.35

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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.

Summerized Form 10-K with GPT-2

BUSINESSKimberly-Clark Corporation was incorporated in Delaware in 1928. See Item 8, Note 3 to the consolidated financial statements for details. In addition, our products could face withdrawal, recall or other quality issues. In addition, we expect ongoing cost savings from our continuous improvement activities.

Summerized Form 10-K with GPT-2 https://www.sec.gov/Archives/edgar/data/55785/000005578521000016/0000055785-21-000016.txt
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 65.10/100
    • Not in ideal financial position.
    • Historical view, profit is 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

Fund ownership list is based on filling form information

Fund name Date Amount Profile
SPDR SERIES TRUST 2022-12-31 3162 Long
SPDR SERIES TRUST 2022-12-31 2254 Long
SPDR SERIES TRUST 2022-12-31 711726 Long
SPDR SERIES TRUST 2022-12-31 3600 Long
STATE STREET INSTITUTIONAL INVESTMENT TRUST 2022-12-31 75627 Long

Insider trading for Kimberly-Clark

CIK Name Date Action T-Test 1day T-Test 7day T-Test 14day T-Test 30day
1712554 Melucci Jeffrey P. 2022-04-25 SALE Reject Accept Accept Accept
1748647 Wilkinson Tristram 2022-05-05 SALE Accept Accept Accept Accept
1883482 Cunningham Doug 2022-05-03 SALE Accept Accept Accept Reject
Assets / Liabilities

Bollinger Bollinger Bands for Kimberly-Clark can provide the information where the market is moving based on price information.

Kimberly-Clark Short Volume Ratio is shown in the diagram. Short volume sales can be seen as an investor sentiment.

Converting prices to returns Kimberly-Clark.

On-Balance Volume information for Kimberly-Clark. On-Balance Volume information can be an indicator for bullish or bearish outcome.

Accumulation / Distribution (A/D) indicator information for Kimberly-Clark. The indicator identify divergences between price and volume flow.

Aroon Oscillator information for Kimberly-Clark. The trend-following indicator can show the strengh of a current trend and likelihood that trend can continue.

Average Directional Index (ADX) information for Kimberly-Clark. The index can be used to identify the strengh of a trend.

Moving Average Convergence Divergence (MACD) for Kimberly-Clark. The indicator helps to predict trend direction and the momentum of the trend.

Stochastic Oscillator as momentum indicator for Kimberly-Clark. The indicator is useful for identifying overbought and oversold levels.

Relative Strength Index (RSI) for Kimberly-Clark. 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 ].

52W High 52W Low Market Cap

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News sentiment

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Figure below show the stock predictions.
Date Closing price Prediction was updated
2023-05-05 133.69 2023-03-25 03:56
2023-05-08 133.75 2023-03-25 03:56
2023-05-09 133.79 2023-03-25 03:56
2023-05-10 133.82 2023-03-25 03:56
2023-04-27 133.40 2023-03-25 03:56
2023-04-28 133.43 2023-03-25 03:56
2023-05-01 133.54 2023-03-25 03:56
2023-05-02 133.55 2023-03-25 03:56
2023-05-03 133.61 2023-03-25 03:56
2023-05-04 133.70 2023-03-25 03:56
2023-05-11 133.86 2023-03-25 03:56
2023-05-12 133.89 2023-03-25 03:56
2023-05-15 133.94 2023-03-25 03:56
2023-05-16 133.96 2023-03-25 03:56
2023-05-17 134.01 2023-03-25 03:56
2023-05-18 134.04 2023-03-25 03:56
2023-05-19 134.05 2023-03-25 03:56
2023-03-28 131.27 2023-03-25 03:56
2023-03-29 131.92 2023-03-25 03:56
2023-03-30 131.48 2023-03-25 03:56
2023-03-31 131.92 2023-03-25 03:56
2023-04-05 131.95 2023-03-25 03:56
2023-04-03 131.78 2023-03-25 03:56
2023-04-04 132.00 2023-03-25 03:56
2023-04-06 132.38 2023-03-25 03:56
2023-04-07 132.67 2023-03-25 03:56
2023-04-10 132.56 2023-03-25 03:56
2023-04-11 132.81 2023-03-25 03:56
2023-04-12 132.93 2023-03-25 03:56
2023-04-13 132.65 2023-03-25 03:56
2023-04-14 132.75 2023-03-25 03:56
2023-04-17 132.87 2023-03-25 03:56
2023-04-18 133.03 2023-03-25 03:56
2023-04-19 132.97 2023-03-25 03:56
2023-04-20 133.18 2023-03-25 03:56
2023-04-21 133.23 2023-03-25 03:56
2023-04-24 133.23 2023-03-25 03:56
2023-04-25 133.38 2023-03-25 03:56
2023-04-26 133.32 2023-03-25 03:56

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.