Moog Stock Price Transform Average Price Breakdown

MOG-A
 Stock
  

USD 86.72  0.31  0.36%   

Moog price transform tool provides the execution environment for running the Average Price transformation 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 price transform indicators. As with most other technical indicators, the Average Price transformation function is designed to identify and follow existing trends. Moog 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. Moog Inc Average Price is the average of the sum of open, high, low and close daily prices of a bar. It can be used to smooth an indicator that normally takes just the closing price as input.
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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 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 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.
 2010 2011 2016 2022 (projected)
Long Term Debt to Equity0.61.020.580.72
Interest Coverage6.125.96.46.88
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Moog's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy. Please use the tools below to analyze the current value of Moog in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
85.6187.4989.37
Details
Intrinsic
Valuation
LowReal ValueHigh
78.3389.2291.10
Details
Naive
Forecast
LowNext ValueHigh
85.2287.0988.97
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
87.0387.0387.03
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Moog. Your research has to be compared to or analyzed against Moog's peers to derive any actionable benefits. When done correctly, Moog's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in Moog Inc.

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As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.

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Moog Inc pair trading

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Moog position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Moog will appreciate offsetting losses from the drop in the long position's value.

Moog Pair Trading

Moog Inc Pair Trading Analysis

The ability to find closely correlated positions to Moog could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Moog when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Moog - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Moog Inc to buy it.
The correlation of Moog is a statistical measure of how it moves in relation to other equities. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Moog moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Moog Inc moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Moog can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
Additionally, see Correlation Analysis. You can also try Focused Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.

Complementary Tools for analysis

When running Moog Inc price analysis, check to measure Moog'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 Moog is operating at the current time. Most of Moog's value examination focuses on studying past and present price action to predict the probability of Moog's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Moog's price. Additionally, you may evaluate how the addition of Moog to your portfolios can decrease your overall portfolio volatility.
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Please note, there is a significant difference between Moog's value and its price as these two are different measures arrived at by different means. Investors typically determine Moog value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Moog's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.