Sinbon Electronics (Taiwan) Pattern Recognition Separating Lines

3023 Stock  TWD 263.00  6.00  2.23%   
Sinbon Electronics pattern recognition tool provides the execution environment for running the Separating Lines recognition and other technical functions against Sinbon Electronics. Sinbon Electronics 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 pattern recognition indicators. As with most other technical indicators, the Separating Lines recognition function is designed to identify and follow existing trends. Sinbon Electronics momentum indicators are usually used to generate trading rules based on assumptions that Sinbon Electronics trends in prices tend to continue for long periods.

Recognition
The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was eleven with a total number of output elements of fifty. The function did not return any valid pattern recognition events for the selected time horizon. The Separating Lines pattern occurs when there is an uptrend in Sinbon Electronics movement followed by an immediate pullback.

Sinbon Electronics Technical Analysis Modules

Most technical analysis of Sinbon Electronics 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 Sinbon from various momentum indicators to cycle indicators. When you analyze Sinbon 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 Sinbon Electronics 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 Sinbon Electronics Co. We use our internally-developed statistical techniques to arrive at the intrinsic value of Sinbon Electronics Co based on widely used predictive technical indicators. In general, we focus on analyzing Sinbon Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Sinbon Electronics's daily price indicators and compare them against related drivers, such as pattern recognition 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 Sinbon Electronics's intrinsic value. In addition to deriving basic predictive indicators for Sinbon Electronics, we also check how macroeconomic factors affect Sinbon Electronics price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
261.18263.00264.82
Details
Intrinsic
Valuation
LowRealHigh
236.70271.12272.95
Details
Naive
Forecast
LowNextHigh
260.87262.69264.52
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
248.64259.77270.90
Details

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Additional Tools for Sinbon Stock Analysis

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