PT Utama (Indonesia) Statistic Functions Linear Regression

RCCC Stock   316.00  12.00  3.66%   
PT Utama statistic functions tool provides the execution environment for running the Linear Regression function and other technical functions against PT Utama. PT Utama 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. PT Utama 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 model generates relationship between price series of PT Utama Radar and its peer or benchmark and helps predict PT Utama future price from its past values.

PT Utama Technical Analysis Modules

Most technical analysis of PT Utama 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 RCCC from various momentum indicators to cycle indicators. When you analyze RCCC 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 PT Utama 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 PT Utama Radar. We use our internally-developed statistical techniques to arrive at the intrinsic value of PT Utama Radar based on widely used predictive technical indicators. In general, we focus on analyzing RCCC Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build PT Utama'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 PT Utama's intrinsic value. In addition to deriving basic predictive indicators for PT Utama, we also check how macroeconomic factors affect PT Utama price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
311.65316.00320.35
Details
Intrinsic
Valuation
LowRealHigh
304.35308.70347.60
Details
Naive
Forecast
LowNextHigh
359.55363.90368.25
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
230.33418.37606.41
Details

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Other Information on Investing in RCCC Stock

PT Utama financial ratios help investors to determine whether RCCC 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 RCCC with respect to the benefits of owning PT Utama security.