Moog Inc Stock Statistic Functions Linear Regression Angle

MOG-A Stock  USD 187.57  2.08  1.12%   
Moog statistic functions tool provides the execution environment for running the Linear Regression Angle function and other technical functions against Moog. Moog 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 Angle function function is designed to identify and follow existing trends. Moog 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.

Execute Function
The output start index for this execution was fourty-four with a total number of output elements of seventeen. The Linear Regression Angle indicator plots the angel of the trend line for each Moog Inc data point.

Moog Technical Analysis Modules

Most technical analysis of Moog 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 Moog from various momentum indicators to cycle indicators. When you analyze Moog 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 Moog 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 Moog Inc. We use our internally-developed statistical techniques to arrive at the intrinsic value of Moog Inc based on widely used predictive technical indicators. In general, we focus on analyzing Moog Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Moog'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 Moog's intrinsic value. In addition to deriving basic predictive indicators for Moog, we also check how macroeconomic factors affect Moog price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2022 2024 2025 (projected)
Dividend Yield0.0055290.0094760.007794
Price To Sales Ratio1.781.080.58
Hype
Prediction
LowEstimatedHigh
184.89187.55190.21
Details
Intrinsic
Valuation
LowRealHigh
177.18179.84206.33
Details
Naive
Forecast
LowNextHigh
166.43169.09171.76
Details
4 Analysts
Consensus
LowTargetHigh
202.70222.75247.25
Details

Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Moog in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Moog's short interest history, or implied volatility extrapolated from Moog options trading.

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Other Information on Investing in Moog Stock

Moog financial ratios help investors to determine whether Moog Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Moog with respect to the benefits of owning Moog security.