Schlumberger (Mexico) Overlap Studies Triangular Moving Average
| SLBN Stock | MXN 903.53 15.93 1.79% |
| Symbol |
The output start index for this execution was twenty-three with a total number of output elements of thirty-eight. The Triangular Moving Average shows Schlumberger double smoothed mean price over a specified number of previous prices (i.e., averaged twice).
Schlumberger Technical Analysis Modules
Most technical analysis of Schlumberger help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Schlumberger from various momentum indicators to cycle 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 | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Schlumberger Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Schlumberger Limited. We use our internally-developed statistical techniques to arrive at the intrinsic value of Schlumberger Limited based on widely used predictive technical indicators. In general, we focus on analyzing Schlumberger Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Schlumberger's daily price indicators and compare them against related drivers, such as overlap studies and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Schlumberger's intrinsic value. In addition to deriving basic predictive indicators for Schlumberger, we also check how macroeconomic factors affect Schlumberger price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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Additional Tools for Schlumberger Stock Analysis
When running Schlumberger's price analysis, check to measure Schlumberger's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Schlumberger is operating at the current time. Most of Schlumberger's value examination focuses on studying past and present price action to predict the probability of Schlumberger's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Schlumberger's price. Additionally, you may evaluate how the addition of Schlumberger to your portfolios can decrease your overall portfolio volatility.