Sona Topas (Indonesia) Statistic Functions Linear Regression Slope

SONA Stock  IDR 6,025  650.00  9.74%   
Sona Topas statistic functions tool provides the execution environment for running the Linear Regression Slope function and other technical functions against Sona Topas. Sona Topas 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. Sona Topas 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 twenty-seven with a total number of output elements of thirty-four. The Linear Regression Slope is the rate of change in Sona Topas Tourism price series over its benchmark or peer price series.

Sona Topas Technical Analysis Modules

Most technical analysis of Sona Topas 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 Sona from various momentum indicators to cycle indicators. When you analyze Sona 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 Sona Topas 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 Sona Topas Tourism. We use our internally-developed statistical techniques to arrive at the intrinsic value of Sona Topas Tourism based on widely used predictive technical indicators. In general, we focus on analyzing Sona Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Sona Topas'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 Sona Topas's intrinsic value. In addition to deriving basic predictive indicators for Sona Topas, we also check how macroeconomic factors affect Sona Topas price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
6,6656,6756,685
Details
Intrinsic
Valuation
LowRealHigh
5,1885,1997,342
Details
Naive
Forecast
LowNextHigh
4,0704,0814,091
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
2,1037,71313,323
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 Sona Topas 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, Sona Topas' short interest history, or implied volatility extrapolated from Sona Topas options trading.

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Other Information on Investing in Sona Stock

Sona Topas financial ratios help investors to determine whether Sona 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 Sona with respect to the benefits of owning Sona Topas security.