San Fang (Taiwan) Statistic Functions Beta

1307 Stock  TWD 40.20  1.15  2.94%   
San Fang statistic functions tool provides the execution environment for running the Beta function and other technical functions against San Fang. San Fang 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 Beta function function is designed to identify and follow existing trends. San Fang 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.

The output start index for this execution was ten with a total number of output elements of fifty-one. The Beta measures systematic risk based on how returns on San Fang Chemical correlated with the market. If Beta is less than 0 San Fang generally moves in the opposite direction as compared to the market. If San Fang Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one San Fang Chemical is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of San Fang is generally in the same direction as the market. If Beta > 1 San Fang moves generally in the same direction as, but more than the movement of the benchmark.

San Fang Technical Analysis Modules

Most technical analysis of San Fang 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 San from various momentum indicators to cycle indicators. When you analyze San 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 San Fang 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 San Fang Chemical. We use our internally-developed statistical techniques to arrive at the intrinsic value of San Fang Chemical based on widely used predictive technical indicators. In general, we focus on analyzing San Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build San Fang'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 San Fang's intrinsic value. In addition to deriving basic predictive indicators for San Fang, we also check how macroeconomic factors affect San Fang price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
36.7240.2043.68
Details
Intrinsic
Valuation
LowRealHigh
31.0134.4944.22
Details

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Additional Tools for San Stock Analysis

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