Brogent Technologies (Taiwan) Price Transform Weighted Close Price

5263 Stock  TWD 164.50  2.50  1.54%   
Brogent Technologies price transform tool provides the execution environment for running the Weighted Close Price transformation and other technical functions against Brogent Technologies. Brogent Technologies 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 price transform indicators. As with most other technical indicators, the Weighted Close Price transformation function is designed to identify and follow existing trends. Brogent Technologies price transformation methods enable investors to generate trading signals using basic price transformation functions such as typical price movement.

Transformation
The output start index for this execution was zero with a total number of output elements of sixty-one. Developed by Larry Williams, the Weighted Close is the average of Brogent Technologies high, low and close of a chart with the close values weighted twice. It can be used to smooth an indicator that normally takes only Brogent Technologies closing price as input.

Brogent Technologies Technical Analysis Modules

Most technical analysis of Brogent Technologies 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 Brogent from various momentum indicators to cycle indicators. When you analyze Brogent 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 Brogent Technologies 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 Brogent Technologies. We use our internally-developed statistical techniques to arrive at the intrinsic value of Brogent Technologies based on widely used predictive technical indicators. In general, we focus on analyzing Brogent Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Brogent Technologies's daily price indicators and compare them against related drivers, such as price transform 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 Brogent Technologies's intrinsic value. In addition to deriving basic predictive indicators for Brogent Technologies, we also check how macroeconomic factors affect Brogent Technologies price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
162.14164.50166.86
Details
Intrinsic
Valuation
LowRealHigh
162.14164.50166.86
Details
Naive
Forecast
LowNextHigh
174.35176.71179.06
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
158.01162.50167.00
Details

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Additional Tools for Brogent Stock Analysis

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