Innodata Stock Overlap Studies MidPoint over period
| INOD Stock | USD 44.77 1.46 3.16% |
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The output start index for this execution was eleven with a total number of output elements of fifty. The Mid-point over period is an average of Innodata highest and lowest values attained during the given period.
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.| Cycle Indicators | ||
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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 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 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.
| 2021 | 2022 | 2023 | 2024 (projected) | Days Sales Outstanding | 59.54 | 44.02 | 60.1 | 69.32 | PTB Ratio | 5.27 | 4.31 | 8.91 | 9.35 |
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Innodata 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 Innodata 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 Innodata will appreciate offsetting losses from the drop in the long position's value.Innodata Pair Trading
Innodata Pair Trading Analysis
The ability to find closely correlated positions to Innodata could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Innodata 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 Innodata - 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 Innodata to buy it.
The correlation of Innodata 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 Innodata moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Innodata 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 Innodata 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.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 persons. For information on how to trade Innodata Stock refer to our How to Trade Innodata Stock guide.You can also try the Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
Is Data Processing & Outsourced Services space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Innodata. If investors know Innodata will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Innodata listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 50 | Earnings Share 0.11 | Revenue Per Share 4.764 | Quarterly Revenue Growth 1.356 | Return On Assets 0.1351 |
The market value of Innodata is measured differently than its book value, which is the value of Innodata that is recorded on the company's balance sheet. Investors also form their own opinion of Innodata's value that differs from its market value or its book value, called intrinsic value, which is Innodata's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Innodata's market value can be influenced by many factors that don't directly affect Innodata's underlying business (such as a pandemic or basic market pessimism), market value can vary widely 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. However, Innodata's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.