Capgemini Pink Sheet Forecast - Double Exponential Smoothing
| CAPMF Stock | USD 158.92 8.15 4.88% |
Capgemini Pink Sheet outlook is based on your current time horizon. We recommend always using this module together with an analysis of Capgemini's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 27th of January 2026, the relative strength index (RSI) of Capgemini's share price is approaching 47 suggesting that the pink sheet is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling Capgemini, making its price go up or down. Momentum 47
Impartial
Oversold | Overbought |
Using Capgemini hype-based prediction, you can estimate the value of Capgemini SE from the perspective of Capgemini response to recently generated media hype and the effects of current headlines on its competitors.
The Double Exponential Smoothing forecasted value of Capgemini SE on the next trading day is expected to be 158.19 with a mean absolute deviation of 5.02 and the sum of the absolute errors of 301.02. Capgemini after-hype prediction price | USD 158.92 |
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 pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Capgemini |
Capgemini Additional Predictive Modules
Most predictive techniques to examine Capgemini price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Capgemini using various technical indicators. When you analyze Capgemini 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 |
Capgemini Double Exponential Smoothing Price Forecast For the 28th of January
Given 90 days horizon, the Double Exponential Smoothing forecasted value of Capgemini SE on the next trading day is expected to be 158.19 with a mean absolute deviation of 5.02, mean absolute percentage error of 36.29, and the sum of the absolute errors of 301.02.Please note that although there have been many attempts to predict Capgemini Pink Sheet 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 Capgemini's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Capgemini Pink Sheet Forecast Pattern
| Backtest Capgemini | Capgemini Price Prediction | Buy or Sell Advice |
Capgemini Forecasted Value
In the context of forecasting Capgemini's Pink Sheet 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. Capgemini's downside and upside margins for the forecasting period are 154.45 and 161.92, respectively. We have considered Capgemini'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 Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Capgemini pink sheet data series using in forecasting. Note that when a statistical model is used to represent Capgemini pink sheet, 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 | Huge |
| Bias | Arithmetic mean of the errors | -0.5934 |
| MAD | Mean absolute deviation | 5.017 |
| MAPE | Mean absolute percentage error | 0.0313 |
| SAE | Sum of the absolute errors | 301.0218 |
Predictive Modules for Capgemini
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Capgemini SE. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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.Capgemini After-Hype Price Density Analysis
As far as predicting the price of Capgemini 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 Capgemini 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 Pink Sheet prices, such as prices of Capgemini, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Capgemini Estimiated After-Hype Price Volatility
In the context of predicting Capgemini's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Capgemini's historical news coverage. Capgemini's after-hype downside and upside margins for the prediction period are 155.18 and 162.66, respectively. We have considered Capgemini'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
Capgemini is very steady at this time. Analysis and calculation of next after-hype price of Capgemini SE is based on 3 months time horizon.
Capgemini Pink Sheet Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Capgemini is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Capgemini 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 Pink Sheet 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 Capgemini, 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 |
0.17 | 3.74 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | In 5 to 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
158.92 | 158.92 | 0.00 |
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Capgemini Hype Timeline
Capgemini SE is currently traded for 158.92. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Capgemini is expected 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 expected to be very small, whereas the daily expected return is currently at 0.17%. %. The volatility of related hype on Capgemini is about 0.0%, with the expected price after the next announcement by competition of 158.92. About 54.0% of the company shares are held by institutions such as insurance companies. The book value of Capgemini was currently reported as 52.4. The company has Price/Earnings To Growth (PEG) ratio of 0.89. Capgemini SE recorded earning per share (EPS) of 8.47. The entity last dividend was issued on the 1st of June 2022. Assuming the 90 days horizon the next expected press release will be in 5 to 10 days. Check out Historical Fundamental Analysis of Capgemini to cross-verify your projections.Capgemini Related Hype Analysis
Having access to credible news sources related to Capgemini's direct competition is more important than ever and may enhance your ability to predict Capgemini's future price movements. Getting to know how Capgemini'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 Capgemini may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| NRILY | Nomura Research Institute | 0.00 | 0 per month | 1.93 | (0.02) | 3.33 | (2.49) | 11.19 | |
| NURAF | Nomura Research Institute | 0.00 | 0 per month | 2.07 | (0.02) | 4.18 | (3.70) | 15.45 | |
| ZTCOF | ZTE Corp H | 0.00 | 0 per month | 0.00 | (0.08) | 5.80 | (16.06) | 40.28 | |
| PCRFF | Panasonic Holdings | 0.00 | 0 per month | 3.47 | 0.06 | 5.36 | (5.65) | 14.59 | |
| CAJPY | Canon Inc | 0.00 | 0 per month | 0.00 | (0.08) | 2.25 | (1.87) | 6.30 | |
| NTDTY | NTT Data Corp | 0.00 | 0 per month | 4.95 | 0.03 | 13.10 | (10.42) | 32.19 | |
| KONMY | Konami Holdings | 0.00 | 0 per month | 0.00 | (0.04) | 2.94 | (3.68) | 21.97 | |
| CAJFF | Canon Inc | 0.00 | 0 per month | 1.96 | (0.02) | 2.39 | (3.97) | 13.39 | |
| LNVGY | Lenovo Group Ltd | 0.00 | 0 per month | 0.00 | (0.27) | 2.00 | (2.76) | 7.94 | |
| ERIXF | Telefonaktiebolaget LM Ericsson | 0.00 | 0 per month | 1.14 | 0.05 | 4.63 | (2.76) | 11.30 |
Other Forecasting Options for Capgemini
For every potential investor in Capgemini, whether a beginner or expert, Capgemini's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Capgemini Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Capgemini. Basic forecasting techniques help filter out the noise by identifying Capgemini's price trends.Capgemini 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 Capgemini pink sheet to make a market-neutral strategy. Peer analysis of Capgemini could also be used in its relative valuation, which is a method of valuing Capgemini by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Capgemini Market Strength Events
Market strength indicators help investors to evaluate how Capgemini pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Capgemini shares will generate the highest return on investment. By undertsting and applying Capgemini pink sheet market strength indicators, traders can identify Capgemini SE entry and exit signals to maximize returns.
| Accumulation Distribution | 153.44 | |||
| Daily Balance Of Power | (0.85) | |||
| Rate Of Daily Change | 0.95 | |||
| Day Median Price | 163.21 | |||
| Day Typical Price | 161.78 | |||
| Market Facilitation Index | 0.0036 | |||
| Price Action Indicator | (8.37) | |||
| Period Momentum Indicator | (8.15) | |||
| Relative Strength Index | 47.5 |
Capgemini Risk Indicators
The analysis of Capgemini'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 Capgemini's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting capgemini pink sheet 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 | 2.96 | |||
| Semi Deviation | 3.83 | |||
| Standard Deviation | 3.74 | |||
| Variance | 13.97 | |||
| Downside Variance | 16.49 | |||
| Semi Variance | 14.63 | |||
| Expected Short fall | (2.71) |
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 Capgemini
The number of cover stories for Capgemini depends on current market conditions and Capgemini's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Capgemini 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 Capgemini'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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Other Information on Investing in Capgemini Pink Sheet
Capgemini financial ratios help investors to determine whether Capgemini Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Capgemini with respect to the benefits of owning Capgemini security.