Amkor Technology Stock Pattern Recognition Short Line Candle

AMKR Stock  USD 26.35  0.99  3.90%   
Amkor Technology pattern recognition tool provides the execution environment for running the Short Line Candle recognition and other technical functions against Amkor Technology. Amkor Technology 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 Short Line Candle recognition function is designed to identify and follow existing trends. Amkor Technology momentum indicators are usually used to generate trading rules based on assumptions that Amkor Technology trends in prices tend to continue for long periods.

Recognition
The output start index for this execution was ten with a total number of output elements of fifty-one. The function generated a total of eight valid pattern recognition events for the selected time horizon. The Short Line Candle pattern describes signals for either bullish or bearish trend during either reversal or continuation condition of Amkor Technology.

Amkor Technology Technical Analysis Modules

Most technical analysis of Amkor Technology 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 Amkor from various momentum indicators to cycle indicators. When you analyze Amkor 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 Amkor Technology 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 Amkor Technology. We use our internally-developed statistical techniques to arrive at the intrinsic value of Amkor Technology based on widely used predictive technical indicators. In general, we focus on analyzing Amkor Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Amkor Technology'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 Amkor Technology's intrinsic value. In addition to deriving basic predictive indicators for Amkor Technology, we also check how macroeconomic factors affect Amkor Technology price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2022 2023 2024 (projected)
Dividend Yield0.0093940.0091390.009489
Price To Sales Ratio0.831.260.81
Hype
Prediction
LowEstimatedHigh
23.7326.3829.03
Details
Intrinsic
Valuation
LowRealHigh
23.7231.8434.49
Details
Naive
Forecast
LowNextHigh
23.0625.7028.35
Details
9 Analysts
Consensus
LowTargetHigh
32.7636.0039.96
Details

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Additional Tools for Amkor Stock Analysis

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