Gigasolar Materials (Taiwan) Statistic Functions Linear Regression

3691 Stock  TWD 85.00  1.40  1.67%   
Gigasolar Materials statistic functions tool provides the execution environment for running the Linear Regression function and other technical functions against Gigasolar Materials. Gigasolar Materials 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 function function is designed to identify and follow existing trends. Gigasolar Materials 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 nine with a total number of output elements of fifty-two. The Linear Regression model generates relationship between price series of Gigasolar Materials and its peer or benchmark and helps predict Gigasolar Materials future price from its past values.

Gigasolar Materials Technical Analysis Modules

Most technical analysis of Gigasolar Materials 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 Gigasolar from various momentum indicators to cycle indicators. When you analyze Gigasolar 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 Gigasolar Materials 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 Gigasolar Materials. We use our internally-developed statistical techniques to arrive at the intrinsic value of Gigasolar Materials based on widely used predictive technical indicators. In general, we focus on analyzing Gigasolar Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Gigasolar Materials'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 Gigasolar Materials's intrinsic value. In addition to deriving basic predictive indicators for Gigasolar Materials, we also check how macroeconomic factors affect Gigasolar Materials price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
82.5885.0087.42
Details
Intrinsic
Valuation
LowRealHigh
71.0973.5193.50
Details
Naive
Forecast
LowNextHigh
80.2282.6585.07
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
83.1986.0188.83
Details

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Additional Tools for Gigasolar Stock Analysis

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