Gafisa SA (Brazil) Statistic Functions Standard Deviation

GFSA3 Stock  BRL 1.48  0.10  7.25%   
Gafisa SA statistic functions tool provides the execution environment for running the Standard Deviation function and other technical functions against Gafisa SA. Gafisa SA 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 Standard Deviation function function is designed to identify and follow existing trends. Gafisa SA statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period and Deviations to execute this module.

Function
Time Period
Deviations
Execute Function
The output start index for this execution was nine with a total number of output elements of fifty-two. Gafisa SA Standard Deviation measures the spread of Gafisa SA time series from expected value (the mean).

Gafisa SA Technical Analysis Modules

Most technical analysis of Gafisa SA 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 Gafisa from various momentum indicators to cycle indicators. When you analyze Gafisa 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 Gafisa SA 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 Gafisa SA. We use our internally-developed statistical techniques to arrive at the intrinsic value of Gafisa SA based on widely used predictive technical indicators. In general, we focus on analyzing Gafisa Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Gafisa SA'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 Gafisa SA's intrinsic value. In addition to deriving basic predictive indicators for Gafisa SA, we also check how macroeconomic factors affect Gafisa SA price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
0.071.385.30
Details
Intrinsic
Valuation
LowRealHigh
0.071.325.24
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Gafisa SA. Your research has to be compared to or analyzed against Gafisa SA's peers to derive any actionable benefits. When done correctly, Gafisa SA's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Gafisa SA.

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Additional Tools for Gafisa Stock Analysis

When running Gafisa SA's price analysis, check to measure Gafisa SA'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 Gafisa SA is operating at the current time. Most of Gafisa SA's value examination focuses on studying past and present price action to predict the probability of Gafisa SA's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Gafisa SA's price. Additionally, you may evaluate how the addition of Gafisa SA to your portfolios can decrease your overall portfolio volatility.