Schlumberger Stock Forecast - Polynomial Regression
| SLB Stock | USD 49.70 0.55 1.12% |
Schlumberger Stock outlook is based on your current time horizon. Investors can use this forecasting interface to forecast Schlumberger stock prices and determine the direction of Schlumberger NV's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Schlumberger's historical fundamentals, such as revenue growth or operating cash flow patterns.
The value of RSI of Schlumberger's share price is above 70 at the present time. This usually implies that the stock is becoming overbought or overvalued. The idea behind Relative Strength Index (RSI) is that it helps to track how fast people are buying or selling Schlumberger, making its price go up or down. Momentum 74
Buy Stretched
Oversold | Overbought |
Using Schlumberger hype-based prediction, you can estimate the value of Schlumberger NV from the perspective of Schlumberger response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of Schlumberger NV on the next trading day is expected to be 51.38 with a mean absolute deviation of 0.92 and the sum of the absolute errors of 56.04. Schlumberger after-hype prediction price | USD 49.7 |
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.
Schlumberger | Build AI portfolio with Schlumberger Stock |
Schlumberger Additional Predictive Modules
Most predictive techniques to examine Schlumberger price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Schlumberger using various technical indicators. When you analyze Schlumberger 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 |
Schlumberger Polynomial Regression Price Forecast For the 27th of January
Given 90 days horizon, the Polynomial Regression forecasted value of Schlumberger NV on the next trading day is expected to be 51.38 with a mean absolute deviation of 0.92, mean absolute percentage error of 1.30, and the sum of the absolute errors of 56.04.Please note that although there have been many attempts to predict Schlumberger 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 Schlumberger's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Schlumberger Stock Forecast Pattern
| Backtest Schlumberger | Schlumberger Price Prediction | Buy or Sell Advice |
Schlumberger Forecasted Value
In the context of forecasting Schlumberger'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. Schlumberger's downside and upside margins for the forecasting period are 49.16 and 53.61, respectively. We have considered Schlumberger'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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Schlumberger stock data series using in forecasting. Note that when a statistical model is used to represent Schlumberger 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 | 118.3702 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.9186 |
| MAPE | Mean absolute percentage error | 0.0233 |
| SAE | Sum of the absolute errors | 56.0366 |
Predictive Modules for Schlumberger
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Schlumberger NV. 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.Schlumberger After-Hype Price Density Analysis
As far as predicting the price of Schlumberger 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 Schlumberger 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 Schlumberger, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Schlumberger Estimiated After-Hype Price Volatility
In the context of predicting Schlumberger's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Schlumberger's historical news coverage. Schlumberger's after-hype downside and upside margins for the prediction period are 47.47 and 51.93, respectively. We have considered Schlumberger'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
Schlumberger is very steady at this time. Analysis and calculation of next after-hype price of Schlumberger NV is based on 3 months time horizon.
Schlumberger Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Schlumberger is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Schlumberger 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 Schlumberger, 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 |
0.57 | 2.23 | 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 | |
49.70 | 49.70 | 0.00 |
|
Schlumberger Hype Timeline
On the 26th of January Schlumberger NV is traded for 49.70. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Schlumberger 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 at this time at 0.57%. %. The volatility of related hype on Schlumberger is about 0.0%, with the expected price after the next announcement by competition of 49.70. About 86.0% of the company shares are owned by institutional investors. The book value of Schlumberger was at this time reported as 17.46. The company last dividend was issued on the 11th of February 2026. Schlumberger NV had 2:1 split on the 10th of April 2006. Considering the 90-day investment horizon the next expected press release will be within a week. Check out Historical Fundamental Analysis of Schlumberger to cross-verify your projections.Schlumberger Related Hype Analysis
Having access to credible news sources related to Schlumberger's direct competition is more important than ever and may enhance your ability to predict Schlumberger's future price movements. Getting to know how Schlumberger'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 Schlumberger may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| BKR | Baker Hughes Co | 0.00 | 0 per month | 1.82 | 0.11 | 4.04 | (3.68) | 8.14 | |
| ET | Energy Transfer LP | 0.00 | 0 per month | 0.71 | 0.05 | 2.22 | (1.33) | 3.94 | |
| E | Eni SpA ADR | 0.00 | 0 per month | 1.18 | 0.05 | 2.01 | (2.26) | 6.47 | |
| MPLX | MPLX LP | 0.00 | 0 per month | 0.92 | 0.08 | 1.71 | (1.73) | 4.74 | |
| KMI | Kinder Morgan | 0.00 | 0 per month | 1.04 | 0.11 | 2.01 | (1.61) | 6.34 | |
| TRP | TC Energy Corp | 0.00 | 0 per month | 0.74 | 0.1 | 2.13 | (1.30) | 5.93 | |
| EOG | EOG Resources | 0.00 | 0 per month | 1.35 | (0.01) | 2.49 | (2.27) | 6.52 | |
| PSX | Phillips 66 | 0.00 | 0 per month | 1.77 | 0.02 | 2.81 | (2.38) | 10.13 | |
| EQNR | Equinor ASA ADR | 0.00 | 0 per month | 1.42 | 0.03 | 2.86 | (2.09) | 7.91 | |
| SU | Suncor Energy | 0.00 | 0 per month | 0.73 | 0.26 | 2.77 | (1.62) | 7.60 |
Other Forecasting Options for Schlumberger
For every potential investor in Schlumberger, whether a beginner or expert, Schlumberger's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Schlumberger Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Schlumberger. Basic forecasting techniques help filter out the noise by identifying Schlumberger's price trends.Schlumberger 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 Schlumberger stock to make a market-neutral strategy. Peer analysis of Schlumberger could also be used in its relative valuation, which is a method of valuing Schlumberger by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Schlumberger Market Strength Events
Market strength indicators help investors to evaluate how Schlumberger stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Schlumberger shares will generate the highest return on investment. By undertsting and applying Schlumberger stock market strength indicators, traders can identify Schlumberger NV entry and exit signals to maximize returns.
Schlumberger Risk Indicators
The analysis of Schlumberger'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 Schlumberger's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting schlumberger 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 | 1.64 | |||
| Semi Deviation | 1.31 | |||
| Standard Deviation | 2.23 | |||
| Variance | 4.96 | |||
| Downside Variance | 2.73 | |||
| Semi Variance | 1.72 | |||
| Expected Short fall | (2.06) |
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 Schlumberger
The number of cover stories for Schlumberger depends on current market conditions and Schlumberger's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Schlumberger 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 Schlumberger's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Contributor Headline
Latest Perspective From Macroaxis
Schlumberger Short Properties
Schlumberger's future price predictability will typically decrease when Schlumberger's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Schlumberger NV often depends not only on the future outlook of the potential Schlumberger's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Schlumberger's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 1.4 B | |
| Cash And Short Term Investments | 4.2 B |
Check out Historical Fundamental Analysis of Schlumberger to cross-verify your projections. You can also try the Stock Tickers module to use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites.
Is Stock space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Schlumberger. If investors know Schlumberger will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Schlumberger listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Schlumberger NV is measured differently than its book value, which is the value of Schlumberger that is recorded on the company's balance sheet. Investors also form their own opinion of Schlumberger's value that differs from its market value or its book value, called intrinsic value, which is Schlumberger's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Schlumberger's market value can be influenced by many factors that don't directly affect Schlumberger's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Schlumberger's value and its price as these two are different measures arrived at by different means. Investors typically determine if Schlumberger is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Schlumberger's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.