Totalenergies Se Stock Statistic Functions Beta
TTFNF Stock | USD 59.94 0.70 1.15% |
Symbol |
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. The Beta measures systematic risk based on how returns on TotalEnergies SE correlated with the market. If Beta is less than 0 TotalEnergies generally moves in the opposite direction as compared to the market. If TotalEnergies Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one TotalEnergies SE is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of TotalEnergies is generally in the same direction as the market. If Beta > 1 TotalEnergies moves generally in the same direction as, but more than the movement of the benchmark.
TotalEnergies Technical Analysis Modules
Most technical analysis of TotalEnergies 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 TotalEnergies from various momentum indicators to cycle indicators. When you analyze TotalEnergies 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 |
About TotalEnergies 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 TotalEnergies SE. We use our internally-developed statistical techniques to arrive at the intrinsic value of TotalEnergies SE based on widely used predictive technical indicators. In general, we focus on analyzing TotalEnergies Pink Sheet price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build TotalEnergies's daily price indicators and compare them against related drivers, such as statistic functions 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 TotalEnergies's intrinsic value. In addition to deriving basic predictive indicators for TotalEnergies, we also check how macroeconomic factors affect TotalEnergies price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards TotalEnergies in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, TotalEnergies' short interest history, or implied volatility extrapolated from TotalEnergies options trading.
Trending Themes
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Other Information on Investing in TotalEnergies Pink Sheet
TotalEnergies financial ratios help investors to determine whether TotalEnergies 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 TotalEnergies with respect to the benefits of owning TotalEnergies security.