Sigiriya Village (Sri Lanka) Statistic Functions Linear Regression Intercept

SIGVN0000  LKR 41.60  2.00  4.59%   
Sigiriya Village statistic functions tool provides the execution environment for running the Linear Regression Intercept function and other technical functions against Sigiriya Village. Sigiriya Village 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 Intercept function function is designed to identify and follow existing trends. Sigiriya Village 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.

Function
Time Period
Execute Function
The output start index for this execution was eleven with a total number of output elements of fifty. The Linear Regression Intercept is the expected mean value of Sigiriya Village Hotels price seriese where values of its benchmark or peer price series are zero.

Sigiriya Village Technical Analysis Modules

Most technical analysis of Sigiriya Village 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 Sigiriya from various momentum indicators to cycle indicators. When you analyze Sigiriya 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 Sigiriya Village 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 Sigiriya Village Hotels. We use our internally-developed statistical techniques to arrive at the intrinsic value of Sigiriya Village Hotels based on widely used predictive technical indicators. In general, we focus on analyzing Sigiriya Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Sigiriya Village'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 Sigiriya Village's intrinsic value. In addition to deriving basic predictive indicators for Sigiriya Village, we also check how macroeconomic factors affect Sigiriya Village price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
39.3341.6043.87
Details
Intrinsic
Valuation
LowRealHigh
31.0833.3545.76
Details
Naive
Forecast
LowNextHigh
42.6044.8847.15
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
35.0139.8344.65
Details

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Other Information on Investing in Sigiriya Stock

Sigiriya Village financial ratios help investors to determine whether Sigiriya 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 Sigiriya with respect to the benefits of owning Sigiriya Village security.