IBF Financial (Taiwan) Statistic Functions Linear Regression Intercept

2889 Stock  TWD 14.45  0.15  1.05%   
IBF Financial statistic functions tool provides the execution environment for running the Linear Regression Intercept function and other technical functions against IBF Financial. IBF Financial 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 Intercept function function is designed to identify and follow existing trends. IBF Financial 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.

Function
Time Period
Execute Function
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Linear Regression Intercept is the expected mean value of IBF Financial Holdings price seriese where values of its benchmark or peer price series are zero.

IBF Financial Technical Analysis Modules

Most technical analysis of IBF Financial 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 IBF from various momentum indicators to cycle indicators. When you analyze IBF 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 IBF Financial 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 IBF Financial Holdings. We use our internally-developed statistical techniques to arrive at the intrinsic value of IBF Financial Holdings based on widely used predictive technical indicators. In general, we focus on analyzing IBF Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build IBF Financial'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 IBF Financial's intrinsic value. In addition to deriving basic predictive indicators for IBF Financial, we also check how macroeconomic factors affect IBF Financial price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
13.1014.3015.50
Details
Intrinsic
Valuation
LowRealHigh
11.1312.3315.73
Details
Naive
Forecast
LowNextHigh
13.3014.5015.69
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
14.0714.3514.63
Details

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Additional Tools for IBF Stock Analysis

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