Seylan Bank (Sri Lanka) Statistic Functions Standard Deviation

SEYBN0000  LKR 54.00  0.20  0.37%   
Seylan Bank statistic functions tool provides the execution environment for running the Standard Deviation function and other technical functions against Seylan Bank. Seylan Bank 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 Standard Deviation function function is designed to identify and follow existing trends. Seylan Bank statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period and Deviations to execute this module.

Function
Time Period
Deviations
Execute Function
The output start index for this execution was thirty-five with a total number of output elements of twenty-six. Seylan Bank PLC Standard Deviation measures the spread of Seylan Bank time series from expected value (the mean).

Seylan Bank Technical Analysis Modules

Most technical analysis of Seylan Bank 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 Seylan from various momentum indicators to cycle indicators. When you analyze Seylan 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 Seylan Bank 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 Seylan Bank PLC. We use our internally-developed statistical techniques to arrive at the intrinsic value of Seylan Bank PLC based on widely used predictive technical indicators. In general, we focus on analyzing Seylan Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Seylan Bank'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 Seylan Bank's intrinsic value. In addition to deriving basic predictive indicators for Seylan Bank, we also check how macroeconomic factors affect Seylan Bank price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
52.0454.0055.96
Details
Intrinsic
Valuation
LowRealHigh
41.1343.0959.40
Details
Naive
Forecast
LowNextHigh
52.2054.1656.12
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
48.7553.1757.59
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 Seylan Bank 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, Seylan Bank's short interest history, or implied volatility extrapolated from Seylan Bank options trading.

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Other Information on Investing in Seylan Stock

Seylan Bank financial ratios help investors to determine whether Seylan 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 Seylan with respect to the benefits of owning Seylan Bank security.