Kforce Stock Forecast - Simple Exponential Smoothing
| ROF Stock | EUR 28.00 0.60 2.10% |
The Simple Exponential Smoothing forecasted value of Kforce Inc on the next trading day is expected to be 28.01 with a mean absolute deviation of 0.51 and the sum of the absolute errors of 30.76. Kforce Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Kforce's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 23rd of January 2026 the value of rsi of Kforce's share price is below 20 indicating that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Using Kforce hype-based prediction, you can estimate the value of Kforce Inc from the perspective of Kforce response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of Kforce Inc on the next trading day is expected to be 28.01 with a mean absolute deviation of 0.51 and the sum of the absolute errors of 30.76. Kforce after-hype prediction price | EUR 28.0 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Kforce |
Kforce Additional Predictive Modules
Most predictive techniques to examine Kforce price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Kforce using various technical indicators. When you analyze Kforce charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Kforce Simple Exponential Smoothing Price Forecast For the 24th of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Kforce Inc on the next trading day is expected to be 28.01 with a mean absolute deviation of 0.51, mean absolute percentage error of 0.94, and the sum of the absolute errors of 30.76.Please note that although there have been many attempts to predict Kforce Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Kforce's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Kforce Stock Forecast Pattern
| Backtest Kforce | Kforce Price Prediction | Buy or Sell Advice |
Kforce Forecasted Value
In the context of forecasting Kforce's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Kforce's downside and upside margins for the forecasting period are 23.64 and 32.39, respectively. We have considered Kforce's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Kforce stock data series using in forecasting. Note that when a statistical model is used to represent Kforce stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 116.2138 |
| Bias | Arithmetic mean of the errors | -0.0815 |
| MAD | Mean absolute deviation | 0.5127 |
| MAPE | Mean absolute percentage error | 0.0197 |
| SAE | Sum of the absolute errors | 30.7647 |
Predictive Modules for Kforce
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Kforce Inc. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Kforce After-Hype Price Prediction Density Analysis
As far as predicting the price of Kforce at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Kforce or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Kforce, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Kforce Estimiated After-Hype Price Volatility
In the context of predicting Kforce's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Kforce's historical news coverage. Kforce's after-hype downside and upside margins for the prediction period are 23.63 and 32.37, respectively. We have considered Kforce's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Kforce is not too volatile at this time. Analysis and calculation of next after-hype price of Kforce Inc is based on 3 months time horizon.
Kforce Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Kforce is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Kforce backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Kforce, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.37 | 4.37 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | Within a week |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
28.00 | 28.00 | 0.00 |
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Kforce Hype Timeline
Kforce Inc is at this time traded for 28.00on Frankfurt Exchange of Germany. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Kforce is estimated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is estimated to be very small, whereas the daily expected return is at this time at 0.37%. %. The volatility of related hype on Kforce is about 0.0%, with the expected price after the next announcement by competition of 28.00. About 90.0% of the company shares are owned by institutional investors. The book value of Kforce was at this time reported as 9.3. The company last dividend was issued on the 9th of March 2023. Assuming the 90 days horizon the next estimated press release will be within a week. Check out Historical Fundamental Analysis of Kforce to cross-verify your projections.Kforce Related Hype Analysis
Having access to credible news sources related to Kforce's direct competition is more important than ever and may enhance your ability to predict Kforce's future price movements. Getting to know how Kforce's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Kforce may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| TYR | Toyo Tires Rubber | 0.00 | 0 per month | 1.37 | (0.01) | 2.61 | (2.50) | 11.37 | |
| YRB | The Yokohama Rubber | 0.00 | 0 per month | 1.35 | 0.05 | 3.58 | (2.81) | 8.77 | |
| 3LN | Live Nation Entertainment | 0.00 | 0 per month | 0.00 | (0.12) | 3.05 | (3.63) | 9.42 | |
| MMX | Martin Marietta Materials | 0.00 | 0 per month | 1.66 | (0.05) | 2.17 | (2.63) | 8.88 | |
| AP2 | APPLIED MATERIALS | 0.00 | 0 per month | 2.52 | 0.13 | 5.66 | (3.62) | 18.54 | |
| RYQ | Rayonier Advanced Materials | 0.00 | 0 per month | 2.74 | 0.02 | 5.13 | (5.42) | 25.30 | |
| 1NX | SANOK RUBBER ZY | 0.00 | 0 per month | 2.31 | (0) | 5.76 | (1.56) | 18.35 | |
| YE42 | ZINC MEDIA GR | 0.00 | 0 per month | 0.00 | (0.11) | 2.08 | (3.77) | 13.55 |
Other Forecasting Options for Kforce
For every potential investor in Kforce, whether a beginner or expert, Kforce's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Kforce Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Kforce. Basic forecasting techniques help filter out the noise by identifying Kforce's price trends.Kforce Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Kforce stock to make a market-neutral strategy. Peer analysis of Kforce could also be used in its relative valuation, which is a method of valuing Kforce by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Kforce Market Strength Events
Market strength indicators help investors to evaluate how Kforce stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Kforce shares will generate the highest return on investment. By undertsting and applying Kforce stock market strength indicators, traders can identify Kforce Inc entry and exit signals to maximize returns.
| Rate Of Daily Change | 0.98 | |||
| Day Median Price | 28.0 | |||
| Day Typical Price | 28.0 | |||
| Price Action Indicator | (0.30) | |||
| Period Momentum Indicator | (0.60) |
Kforce Risk Indicators
The analysis of Kforce's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Kforce's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting kforce stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 2.19 | |||
| Semi Deviation | 1.91 | |||
| Standard Deviation | 4.19 | |||
| Variance | 17.57 | |||
| Downside Variance | 5.19 | |||
| Semi Variance | 3.66 | |||
| Expected Short fall | (3.10) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for Kforce
The number of cover stories for Kforce depends on current market conditions and Kforce's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Kforce is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Kforce's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Additional Information and Resources on Investing in Kforce Stock
When determining whether Kforce Inc offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Kforce's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Kforce Inc Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Kforce Inc Stock:Check out Historical Fundamental Analysis of Kforce to cross-verify your projections. You can also try the Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.