Schlumberger Stock Forecast - 20 Period Moving Average

SLB Stock  USD 43.94  0.28  0.64%   
The 20 Period Moving Average forecasted value of Schlumberger NV on the next trading day is expected to be 43.35 with a mean absolute deviation of 1.73 and the sum of the absolute errors of 70.94. Schlumberger Stock Forecast 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.
  
At present, Schlumberger's Receivables Turnover is projected to increase slightly based on the last few years of reporting. The current year's Asset Turnover is expected to grow to 0.77, whereas Inventory Turnover is forecasted to decline to 5.87. . The current year's Net Income Applicable To Common Shares is expected to grow to about 3.3 B, whereas Common Stock Shares Outstanding is forecasted to decline to about 1.3 B.
A commonly used 20-period moving average forecast model for Schlumberger NV is based on a synthetically constructed Schlumbergerdaily price series in which the value for a trading day is replaced by the mean of that value and the values for 20 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Schlumberger 20 Period Moving Average Price Forecast For the 2nd of December

Given 90 days horizon, the 20 Period Moving Average forecasted value of Schlumberger NV on the next trading day is expected to be 43.35 with a mean absolute deviation of 1.73, mean absolute percentage error of 3.68, and the sum of the absolute errors of 70.94.
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

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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 41.50 and 45.21, 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.
Market Value
43.94
43.35
Expected Value
45.21
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 20 Period Moving Average 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.
AICAkaike Information Criteria82.6557
BiasArithmetic mean of the errors -0.3359
MADMean absolute deviation1.7303
MAPEMean absolute percentage error0.0404
SAESum of the absolute errors70.941
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. Schlumberger NV 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

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.
Hype
Prediction
LowEstimatedHigh
42.1143.9745.83
Details
Intrinsic
Valuation
LowRealHigh
39.5553.8255.68
Details
Bollinger
Band Projection (param)
LowMiddleHigh
43.0843.7244.35
Details
30 Analysts
Consensus
LowTargetHigh
58.5864.3771.45
Details

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.

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 Risk & Return  Correlation

Schlumberger NV Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Schlumberger's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Schlumberger's current price.

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.
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.

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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
When determining whether Schlumberger NV offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Schlumberger'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 Schlumberger Nv Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Schlumberger Nv Stock:
Is Oil & Gas Equipment & Services 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.
Quarterly Earnings Growth
0.064
Dividend Share
1.075
Earnings Share
3.11
Revenue Per Share
25.246
Quarterly Revenue Growth
0.102
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.