Alkermes Plc Stock Statistic Functions Linear Regression

ALKS Stock  USD 29.32  0.07  0.24%   
Alkermes Plc statistic functions tool provides the execution environment for running the Linear Regression function and other technical functions against Alkermes Plc. Alkermes Plc 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. Alkermes Plc 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.

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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 model generates relationship between price series of Alkermes Plc and its peer or benchmark and helps predict Alkermes Plc future price from its past values.

Alkermes Plc Technical Analysis Modules

Most technical analysis of Alkermes Plc 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 Alkermes from various momentum indicators to cycle indicators. When you analyze Alkermes 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 Alkermes Plc 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 Alkermes Plc. We use our internally-developed statistical techniques to arrive at the intrinsic value of Alkermes Plc based on widely used predictive technical indicators. In general, we focus on analyzing Alkermes Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Alkermes Plc'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 Alkermes Plc's intrinsic value. In addition to deriving basic predictive indicators for Alkermes Plc, we also check how macroeconomic factors affect Alkermes Plc price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2021 2022 2023 2024 (projected)
Days Sales Outstanding101.5597.4773.11106.46
PTB Ratio3.364.093.833.64
Hype
Prediction
LowEstimatedHigh
26.9429.3131.68
Details
Intrinsic
Valuation
LowRealHigh
26.3932.2034.57
Details
14 Analysts
Consensus
LowTargetHigh
32.5835.8039.74
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.560.650.70
Details

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Additional Tools for Alkermes Stock Analysis

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