Sao Vang (Vietnam) Statistic Functions Linear Regression

SRC Stock   31,000  1,600  5.44%   
Sao Vang statistic functions tool provides the execution environment for running the Linear Regression function and other technical functions against Sao Vang. Sao Vang 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 function function is designed to identify and follow existing trends. Sao Vang 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 nineteen with a total number of output elements of fourty-two. The Linear Regression model generates relationship between price series of Sao Vang Rubber and its peer or benchmark and helps predict Sao Vang future price from its past values.

Sao Vang Technical Analysis Modules

Most technical analysis of Sao Vang 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 Sao from various momentum indicators to cycle indicators. When you analyze Sao 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 Sao Vang 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 Sao Vang Rubber. We use our internally-developed statistical techniques to arrive at the intrinsic value of Sao Vang Rubber based on widely used predictive technical indicators. In general, we focus on analyzing Sao Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Sao Vang'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 Sao Vang's intrinsic value. In addition to deriving basic predictive indicators for Sao Vang, we also check how macroeconomic factors affect Sao Vang price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
30,99731,00031,003
Details
Intrinsic
Valuation
LowRealHigh
24,42024,42334,100
Details
Naive
Forecast
LowNextHigh
30,75730,76030,763
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
24,76327,73830,712
Details

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Other Information on Investing in Sao Stock

Sao Vang financial ratios help investors to determine whether Sao Stock 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 Sao with respect to the benefits of owning Sao Vang security.