BRF SA (Brazil) Statistic Functions Linear Regression Slope

BRFS3 Stock  BRL 24.41  0.18  0.73%   
BRF SA statistic functions tool provides the execution environment for running the Linear Regression Slope function and other technical functions against BRF SA. BRF 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 Linear Regression Slope function function is designed to identify and follow existing trends. BRF 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 to run this model.

Execute Function
The output start index for this execution was nine with a total number of output elements of fifty-two. The Linear Regression Slope is the rate of change in BRF SA price series over its benchmark or peer price series.

BRF SA Technical Analysis Modules

Most technical analysis of BRF 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 BRF from various momentum indicators to cycle indicators. When you analyze BRF 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 BRF 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 BRF SA. We use our internally-developed statistical techniques to arrive at the intrinsic value of BRF SA based on widely used predictive technical indicators. In general, we focus on analyzing BRF Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build BRF 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 BRF SA's intrinsic value. In addition to deriving basic predictive indicators for BRF SA, we also check how macroeconomic factors affect BRF SA price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
22.1824.4126.64
Details
Intrinsic
Valuation
LowRealHigh
18.0520.2826.85
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as BRF SA. Your research has to be compared to or analyzed against BRF SA's peers to derive any actionable benefits. When done correctly, BRF 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 BRF SA.

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Additional Tools for BRF Stock Analysis

When running BRF SA's price analysis, check to measure BRF 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 BRF SA is operating at the current time. Most of BRF SA's value examination focuses on studying past and present price action to predict the probability of BRF 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 BRF SA's price. Additionally, you may evaluate how the addition of BRF SA to your portfolios can decrease your overall portfolio volatility.