Coty Inc Stock Math Transform Price Common Logarithm

COTY Stock  USD 7.39  0.02  0.27%   
Coty math transform tool provides the execution environment for running the Price Common Logarithm transformation and other technical functions against Coty. Coty 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 Price Common Logarithm 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 Coty can be made when Coty 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. Coty Inc Price Common Logarithm is logarithm with base 10 applied on the entire pricing series.

Coty Technical Analysis Modules

Most technical analysis of Coty 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 Coty from various momentum indicators to cycle indicators. When you analyze Coty 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 Coty 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 Coty Inc. We use our internally-developed statistical techniques to arrive at the intrinsic value of Coty Inc based on widely used predictive technical indicators. In general, we focus on analyzing Coty Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Coty'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 Coty's intrinsic value. In addition to deriving basic predictive indicators for Coty, we also check how macroeconomic factors affect Coty 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)
Dividend Yield0.0087020.0013130.001570.001492
Price To Sales Ratio1.241.881.391.68
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Coty'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.
Hype
Prediction
LowEstimatedHigh
5.117.429.73
Details
Intrinsic
Valuation
LowRealHigh
6.588.8911.20
Details
20 Analysts
Consensus
LowTargetHigh
11.7312.8914.31
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.190.210.25
Details

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Additional Tools for Coty Stock Analysis

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