Innodata Stock Price Patterns
| INOD Stock | USD 42.50 -0.25 -0.58% |
Momentum
Sell Extended
Oversold | Overbought |
Quarterly Earnings Growth -0.19 | EPS Estimate Next Quarter 0.275 | EPS Estimate Current Year 1.195 | EPS Estimate Next Year 1.735 | Wall Street Target Price 91.25 |
The hype view outlines Innodata's attention response alongside peer coverage. This view uses options positioning and short interest to outline sentiment around Innodata.
Short Interest Panel - Innodata
Changes in Innodata's short interest are tracked as sentiment context. This context is presented alongside price and volatility signals.
200 Day MA 54.9114 | Short Percent 0.163 | Short Ratio 3.29 | Shares Short Prior Month 4.9 M | 50 Day MA 51.751 |
Innodata Hype-Price Mapping
Average sentiment around Innodata is summarized to provide attention context. The view connects attention signals with observed price behavior.
This view compares attention trends with price response for Innodata. The context can be compared with fundamentals and volatility metrics.
Innodata Implied Volatility | 1.53 |
Innodata's implied volatility provides a volatility expectation derived from option pricing. The measure is presented as informational context for volatility interpretation.
The attention view for Innodata connects headline intensity with short-term volatility context.
Innodata after-hype prediction price | $ 42.62 |
The sentiment summary complements forecasting and technical views with analyst estimates and earnings data.
Rule 16 Reference for the current Innodata contract - Market Context
Based on Rule 16, the market-implied daily move for 2026-03-20 options is about 0.0956%. At a recent price around $ 42.50, the implied daily move is approximately $ 0.04, which is informational only.
Cross-verify projections for Innodata using Innodata Basic Forecasting Models. The model set adds a statistical reference.Investors who believe in mean reversion view Innodata's price extremes not as permanent states but as temporary dislocations that create opportunities for disciplined, contrarian capital allocation.
After-Hype Price Density Analysis
The shape of Innodata's price distribution after major news events tends to be skewed, with larger potential moves to the downside than to the upside for established companies like Innodata. This asymmetry is a key input for options pricing and risk management.
Next price density |
| Expected price to next headline |
Estimiated After-Hype Price Volatility
By studying Innodata's historical news reactions, we generate empirical estimates of the price boundaries that follow significant headlines. Innodata's after-hype downside and upside margins for the prediction period are 37.46 and 47.78, respectively. These estimates are most reliable when Innodata's news reaction patterns have been consistent over multiple events.
Current Value
The after-hype framework applied to Innodata assumes a 3 months review window and focuses on post-sentiment normalization rather than raw momentum. This view is most useful when investors want to compare sentiment-driven price extension with a more measured post-news scenario.
Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Innodata is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Innodata backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Innodata, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.11 | 5.16 | 0.12 | 0.09 | 8 Events | 7 Events | In 8 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
42.50 | 42.62 | 0.28 |
|
Hype Timeline
Innodata is currently traded for 42.50. The company has historical hype elasticity of 0.12, and average elasticity to hype of competition of 0.09. Innodata is estimated to increase in value after the next headline, with the price projected to jump to 42.62 or above. The average volatility of media hype impact on the company the price is over 100%. The price growth on the next news is projected to be 0.28%, whereas the daily expected return is currently at -0.11%. The volatility of related hype on Innodata is about 662.39%, with the expected price after the next announcement by competition of 42.59. The company reported previous year's revenue of 251.66 M. Net Income was 32.18 M with profit before overhead, payroll, taxes, and interest of 101.03 M. Given the investment horizon of 90 days the next estimated press release will be in 8 days. Cross-verify projections for Innodata using Innodata Basic Forecasting Models. The model set adds a statistical reference.Related Hype Analysis
News about regulatory changes, technological disruptions, or macroeconomic shifts can affect Innodata's entire competitive landscape simultaneously. Monitoring peer reactions to such events helps investors anticipate Innodata's likely response.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| DXC | DXC Technology Co | 0.06 | 9 per month | 0.00 | -0.06 | 5.56 | -5.79 | 18.35 | |
| CLVT | CLARIVATE PLC | 1.76 | 22 per month | 0.00 | -0.05 | 4.63 | -7.01 | 44.63 | |
| FORTY | Formula Systems 1985 | 0.01 | 5 per month | 5.75 | 0.03 | 6.89 | -8.30 | 27.19 | |
| AI | C3 Ai Inc | -0.20 | 7 per month | 0.00 | -0.15 | 4.87 | -6.63 | 33.30 | |
| GLOB | Globant SA | 0.37 | 6 per month | 0.00 | -0.14 | 5.25 | -7.92 | 18.00 | |
| VNET | VNET Group DRC | -0.06 | 8 per month | 3.79 | 0.07 | 10.67 | -5.65 | 21.56 | |
| ASGN | ASGN Inc | -6.55 | 10 per month | 0.00 | -0.07 | 4.91 | -4.81 | 18.93 | |
| CNXC | Concentrix | 1.55 | 11 per month | 0.00 | -0.03 | 5.72 | -9.35 | 19.57 | |
| VICR | Vicor | 10.94 | 10 per month | 4.18 | 0.21 | 7.88 | -8.09 | 24.94 | |
| SPNS | Sapiens International | -0.09 | 7 per month | 0.00 | 0.12 | 0.28 | -0.12 | 32,006 |
Innodata Additional Predictive Modules
Most predictive techniques to examine Innodata price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Innodata using various technical 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 | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Sentiment Indicators & Methodology
Sentiment analysis for Innodata evaluates news tone, positioning, and narrative momentum. Momentum often follows narrative shifts when liquidity is supportive. Innodata has a market cap of 1.39 B, P/E of 159.5, ROE of 37.76%.
This section for Innodata is built from periodic company reporting and market reference feeds, with harmonization applied to align reporting definitions. Analyst inputs may be included when coverage is available. Values may update on different source schedules.
This content is curated and reviewed by:
Michael Smolkin - Member of Macroaxis Board of DirectorsAlso Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Popular Tools for Innodata Stock analysis
| Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
| Fundamentals Comparison Compare fundamentals across multiple equities to find investing opportunities | |
| Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
| Latest Portfolios Quick portfolio dashboard that showcases your latest portfolios |