Sitronix Technology (Taiwan) Statistic Functions Standard Deviation

8016 Stock  TWD 212.50  2.00  0.93%   
Sitronix Technology statistic functions tool provides the execution environment for running the Standard Deviation function and other technical functions against Sitronix Technology. Sitronix Technology 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. Sitronix Technology 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 twenty-three with a total number of output elements of thirty-eight. Sitronix Technology Corp Standard Deviation measures the spread of Sitronix Technology time series from expected value (the mean).

Sitronix Technology Technical Analysis Modules

Most technical analysis of Sitronix Technology 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 Sitronix from various momentum indicators to cycle indicators. When you analyze Sitronix 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 Sitronix Technology 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 Sitronix Technology Corp. We use our internally-developed statistical techniques to arrive at the intrinsic value of Sitronix Technology Corp based on widely used predictive technical indicators. In general, we focus on analyzing Sitronix Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Sitronix Technology'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 Sitronix Technology's intrinsic value. In addition to deriving basic predictive indicators for Sitronix Technology, we also check how macroeconomic factors affect Sitronix Technology price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
211.05212.50213.95
Details
Intrinsic
Valuation
LowRealHigh
191.25218.50219.95
Details
Naive
Forecast
LowNextHigh
209.51210.96212.41
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
208.04218.88229.71
Details

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Additional Tools for Sitronix Stock Analysis

When running Sitronix Technology's price analysis, check to measure Sitronix Technology's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Sitronix Technology is operating at the current time. Most of Sitronix Technology's value examination focuses on studying past and present price action to predict the probability of Sitronix Technology's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sitronix Technology's price. Additionally, you may evaluate how the addition of Sitronix Technology to your portfolios can decrease your overall portfolio volatility.