Fitipower Integrated (Taiwan) Statistic Functions Linear Regression Slope

4961 Stock   240.00  0.50  0.21%   
Fitipower Integrated statistic functions tool provides the execution environment for running the Linear Regression Slope function and other technical functions against Fitipower Integrated. Fitipower Integrated 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. Fitipower Integrated 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 two with a total number of output elements of fifty-nine. The Linear Regression Slope is the rate of change in Fitipower Integrated price series over its benchmark or peer price series.

Fitipower Integrated Technical Analysis Modules

Most technical analysis of Fitipower Integrated 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 Fitipower from various momentum indicators to cycle indicators. When you analyze Fitipower 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 Fitipower Integrated 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 Fitipower Integrated Technology. We use our internally-developed statistical techniques to arrive at the intrinsic value of Fitipower Integrated Technology based on widely used predictive technical indicators. In general, we focus on analyzing Fitipower Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Fitipower Integrated'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 Fitipower Integrated's intrinsic value. In addition to deriving basic predictive indicators for Fitipower Integrated, we also check how macroeconomic factors affect Fitipower Integrated price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
237.94240.00242.06
Details
Intrinsic
Valuation
LowRealHigh
215.77217.83264.00
Details
Naive
Forecast
LowNextHigh
244.30246.36248.41
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
239.68240.50241.32
Details

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Additional Tools for Fitipower Stock Analysis

When running Fitipower Integrated's price analysis, check to measure Fitipower Integrated'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 Fitipower Integrated is operating at the current time. Most of Fitipower Integrated's value examination focuses on studying past and present price action to predict the probability of Fitipower Integrated's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Fitipower Integrated's price. Additionally, you may evaluate how the addition of Fitipower Integrated to your portfolios can decrease your overall portfolio volatility.