Yi Jinn (Taiwan) Statistic Functions Linear Regression

1457 Stock  TWD 19.85  0.15  0.75%   
Yi Jinn statistic functions tool provides the execution environment for running the Linear Regression function and other technical functions against Yi Jinn. Yi Jinn 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. Yi Jinn 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 Yi Jinn Industrial and its peer or benchmark and helps predict Yi Jinn future price from its past values.

Yi Jinn Technical Analysis Modules

Most technical analysis of Yi Jinn 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 1457 from various momentum indicators to cycle indicators. When you analyze 1457 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 Yi Jinn 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 Yi Jinn Industrial. We use our internally-developed statistical techniques to arrive at the intrinsic value of Yi Jinn Industrial based on widely used predictive technical indicators. In general, we focus on analyzing 1457 Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Yi Jinn'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 Yi Jinn's intrinsic value. In addition to deriving basic predictive indicators for Yi Jinn, we also check how macroeconomic factors affect Yi Jinn price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
19.2419.8520.46
Details
Intrinsic
Valuation
LowRealHigh
17.7718.3821.84
Details
Naive
Forecast
LowNextHigh
19.3119.9320.54
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
19.7419.9120.09
Details

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Additional Tools for 1457 Stock Analysis

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