Inotiv Inc Stock Overlap Studies Exponential Moving Average

NOTV Stock  USD 3.75  0.16  4.46%   
Inotiv overlap studies tool provides the execution environment for running the Exponential Moving Average study and other technical functions against Inotiv. Inotiv 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 overlap studies indicators. As with most other technical indicators, the Exponential Moving Average study function is designed to identify and follow existing trends. Inotiv overlay technical analysis usually involve calculating upper and lower limits of price movements based on various statistical techniques. Please specify Time Period to run this model.

The output start index for this execution was eleven with a total number of output elements of fifty. The Exponential Moving Average is calculated by weighting recent values of Inotiv Inc more heavily than older values.

Inotiv Technical Analysis Modules

Most technical analysis of Inotiv 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 Inotiv from various momentum indicators to cycle indicators. When you analyze Inotiv 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 Inotiv 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 Inotiv Inc. We use our internally-developed statistical techniques to arrive at the intrinsic value of Inotiv Inc based on widely used predictive technical indicators. In general, we focus on analyzing Inotiv Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Inotiv's daily price indicators and compare them against related drivers, such as overlap studies 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 Inotiv's intrinsic value. In addition to deriving basic predictive indicators for Inotiv, we also check how macroeconomic factors affect Inotiv price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2023 2024 (projected)
PTB Ratio0.260.25
Dividend Yield0.0030020.002852
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Inotiv'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
0.183.6210.33
Details
Intrinsic
Valuation
LowRealHigh
0.326.3113.02
Details
Naive
Forecast
LowNextHigh
0.073.4710.18
Details
3 Analysts
Consensus
LowTargetHigh
13.7015.0616.72
Details

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Additional Tools for Inotiv Stock Analysis

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