Moodys Stock Math Transform Inverse Tangent Over Price Movement

MCO Stock  USD 513.70  2.92  0.57%   
Moodys math transform tool provides the execution environment for running the Inverse Tangent Over Price Movement transformation and other technical functions against Moodys. Moodys 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 math transform indicators. As with most other technical indicators, the Inverse Tangent Over Price Movement transformation function is designed to identify and follow existing trends. Analysts that use price transformation techniques rely on the belief that biggest profits from investing in Moodys can be made when Moodys shifts in price trends from positive to negative or vice versa.

Transformation
The output start index for this execution was zero with a total number of output elements of sixty-one. Moodys Inverse Tangent Over Price Movement function is an inverse trigonometric method to describe Moodys price patterns.

Moodys Technical Analysis Modules

Most technical analysis of Moodys 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 Moodys from various momentum indicators to cycle indicators. When you analyze Moodys 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 Moodys 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 Moodys. We use our internally-developed statistical techniques to arrive at the intrinsic value of Moodys based on widely used predictive technical indicators. In general, we focus on analyzing Moodys Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Moodys's daily price indicators and compare them against related drivers, such as math 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 Moodys's intrinsic value. In addition to deriving basic predictive indicators for Moodys, we also check how macroeconomic factors affect Moodys price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2023 2024 2025 2026 (projected)
Dividend Yield0.0078830.0072040.0082850.0123
Price To Sales Ratio12.0912.1410.9311.47
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Moodys' 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.
Hype
Prediction
LowEstimatedHigh
512.66513.95515.24
Details
Intrinsic
Valuation
LowRealHigh
494.52495.81565.07
Details
Naive
Forecast
LowNextHigh
503.75505.04506.33
Details
25 Analysts
Consensus
LowTargetHigh
523.73575.53638.83
Details

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Moodys 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 Moodys 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 Moodys will appreciate offsetting losses from the drop in the long position's value.

Moodys Pair Trading

Moodys Pair Trading Analysis

The ability to find closely correlated positions to Moodys could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Moodys 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 Moodys - 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 Moodys to buy it.
The correlation of Moodys is a statistical measure of how it moves in relation to other instruments. 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 Moodys moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Moodys 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 Moodys 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
When determining whether Moodys offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Moodys' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Moodys Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Moodys Stock:
Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Moodys. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in unemployment.
To learn how to invest in Moodys Stock, please use our How to Invest in Moodys guide.
You can also try the ETFs module to find actively traded Exchange Traded Funds (ETF) from around the world.
Will Financial Exchanges & Data sector continue expanding? Could Moodys diversify its offerings? Factors like these will boost the valuation of Moodys. Expected growth trajectory for Moodys significantly influences the price investors are willing to assign. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every Moodys data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
Quarterly Earnings Growth
0.229
Dividend Share
3.67
Earnings Share
12.45
Revenue Per Share
41.724
Quarterly Revenue Growth
0.107
Understanding Moodys requires distinguishing between market price and book value, where the latter reflects Moodys's accounting equity. The concept of intrinsic value—what Moodys' is actually worth based on fundamentals—guides informed investors toward better entry and exit points. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Market sentiment, economic cycles, and investor behavior can push Moodys' price substantially above or below its fundamental value.
Understanding that Moodys' value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether Moodys represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. In contrast, Moodys' trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.