Innodata Stock Statistic Functions Variance

INOD Stock  USD 55.44  8.42  13.19%   
Innodata statistic functions tool provides the execution environment for running the Variance function and other technical functions against Innodata. Innodata 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 Variance function function is designed to identify and follow existing trends. Innodata statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period and Deviations to execute this module.

Function
Time Period
Deviations
Execute Function
The output start index for this execution was twenty-three with a total number of output elements of thirty-eight. Innodata Variance is a measurement of the price spread between periods of Innodata price series.

Innodata Technical Analysis Modules

Most technical analysis of Innodata 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 Innodata from various momentum indicators to cycle indicators. When you analyze Innodata 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 Innodata 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 Innodata. We use our internally-developed statistical techniques to arrive at the intrinsic value of Innodata based on widely used predictive technical indicators. In general, we focus on analyzing Innodata Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Innodata'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 Innodata's intrinsic value. In addition to deriving basic predictive indicators for Innodata, we also check how macroeconomic factors affect Innodata 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)
Days Sales Outstanding60.159.9868.9869.31
PTB Ratio8.9118.1616.3417.16
Hype
Prediction
LowEstimatedHigh
50.1455.4460.74
Details
Intrinsic
Valuation
LowRealHigh
42.4547.7560.98
Details
Naive
Forecast
LowNextHigh
44.9850.2755.57
Details
5 Analysts
Consensus
LowTargetHigh
85.3193.75104.06
Details

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Align your risk and return expectations

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When determining whether Innodata is a strong investment it is important to analyze Innodata's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Innodata's future performance. For an informed investment choice regarding Innodata Stock, refer to the following important reports:
Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Innodata. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as various price indices.
For information on how to trade Innodata Stock refer to our How to Trade Innodata Stock guide.
You can also try the Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
Will Data Processing & Outsourced Services sector continue expanding? Could Innodata diversify its offerings? Factors like these will boost the valuation of Innodata. Market participants price Innodata higher when confident in its future expansion prospects. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every Innodata data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
Quarterly Earnings Growth
(0.53)
Earnings Share
1.01
Revenue Per Share
7.625
Quarterly Revenue Growth
0.198
Return On Assets
0.2084
Investors evaluate Innodata using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Innodata's intrinsic value—the estimated true worth—helps identify when the stock trades at a discount or premium to fair value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. External factors like market trends, sector rotation, and investor psychology can cause Innodata's market price to deviate significantly from intrinsic value.
Please note, there is a significant difference between Innodata's value and its price as these two are different measures arrived at by different means. Investors typically determine if Innodata is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. Conversely, Innodata's market price signifies the transaction level at which participants voluntarily complete trades.