Bollor Se Stock Statistic Functions Beta

BOIVF Stock  USD 6.19  0.15  2.48%   
Bolloré SE statistic functions tool provides the execution environment for running the Beta function and other technical functions against Bolloré SE. Bolloré SE value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of statistic functions indicators. As with most other technical indicators, the Beta function function is designed to identify and follow existing trends. Bolloré SE statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was one with a total number of output elements of sixty. The Beta measures systematic risk based on how returns on Bolloré SE correlated with the market. If Beta is less than 0 Bolloré SE generally moves in the opposite direction as compared to the market. If Bolloré SE Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Bolloré SE is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Bolloré SE is generally in the same direction as the market. If Beta > 1 Bolloré SE moves generally in the same direction as, but more than the movement of the benchmark.

Bolloré SE Technical Analysis Modules

Most technical analysis of Bolloré SE 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 Bolloré from various momentum indicators to cycle indicators. When you analyze Bolloré 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.

About Bolloré SE 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 Bollor SE. We use our internally-developed statistical techniques to arrive at the intrinsic value of Bollor SE based on widely used predictive technical indicators. In general, we focus on analyzing Bolloré Pink Sheet price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Bolloré SE'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 Bolloré SE's intrinsic value. In addition to deriving basic predictive indicators for Bolloré SE, we also check how macroeconomic factors affect Bolloré SE price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Bolloré SE's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
4.286.198.10
Details
Intrinsic
Valuation
LowRealHigh
4.396.298.21
Details
Naive
Forecast
LowNextHigh
4.346.258.17
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
5.986.106.22
Details

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 Bolloré SE 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, Bolloré SE's short interest history, or implied volatility extrapolated from Bolloré SE options trading.

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Other Information on Investing in Bolloré Pink Sheet

Bolloré SE financial ratios help investors to determine whether Bolloré 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 Bolloré with respect to the benefits of owning Bolloré SE security.