Innodata Stock Price Transform Average Price

INOD Stock  USD 47.59  4.07  9.35%   
Innodata price transform tool provides the execution environment for running the Average Price transformation 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 price transform indicators. As with most other technical indicators, the Average Price transformation function is designed to identify and follow existing trends. Innodata 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. Innodata 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.

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 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 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
41.8447.3352.82
Details
Intrinsic
Valuation
LowRealHigh
42.8357.9163.40
Details
5 Analysts
Consensus
LowTargetHigh
85.3193.75104.06
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.260.280.29
Details

Innodata Implied Volatility

    
  0.99  
Innodata's implied volatility exposes the market's sentiment of Innodata stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Innodata's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Innodata stock will not fluctuate a lot when Innodata's options are near their expiration.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Innodata in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Innodata's short interest history, or implied volatility extrapolated from Innodata options trading.

Trending Themes

If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment.
Macroaxis Index Idea
Macroaxis Index
Invested over 90 shares
SRI Sustainable Growth Idea
SRI Sustainable Growth
Invested over 90 shares
ESG Investing Idea
ESG Investing
Sold few shares
Tech Growth Idea
Tech Growth
Invested over 90 shares
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 signals in employment.
For information on how to trade Innodata Stock refer to our How to Trade Innodata Stock guide.
You can also try the Bonds Directory module to find actively traded corporate debentures issued by US companies.
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
1.03
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.