Innodata Stock Technical Analysis
| INOD Stock | USD 44.73 0.15 0.34% |
As of the 19th of February, Innodata retains the Market Risk Adjusted Performance of (0.14), standard deviation of 5.34, and Risk Adjusted Performance of (0.04). Innodata technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the firm's future prices. Please check out Innodata variance and value at risk to decide if Innodata is priced fairly, providing market reflects its last-minute price of 44.73 per share. Given that Innodata has information ratio of (0.08), we strongly advise you to confirm Innodata's regular market performance to make sure the company can sustain itself at a future point.
Innodata Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Innodata, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to InnodataInnodata's Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.Innodata Analyst Consensus
| Target Price | Consensus | # of Analysts | |
| 93.75 | Strong Buy | 5 | Odds |
Most Innodata analysts issue ratings four times a year, at intervals of three months. Ratings are usually accompanied by a target price to helps potential investors understand Innodata stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of Innodata, talking to its executives and customers, or listening to Innodata conference calls.
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 | Quarterly Revenue Growth 0.198 | Return On Assets |
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.
Innodata 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Innodata's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Innodata.
| 11/21/2025 |
| 02/19/2026 |
If you would invest 0.00 in Innodata on November 21, 2025 and sell it all today you would earn a total of 0.00 from holding Innodata or generate 0.0% return on investment in Innodata over 90 days. Innodata is related to or competes with DXC Technology, CLARIVATE PLC, Formula Systems, C3 Ai, Globant SA, VNET Group, and ASGN. Innodata Inc. operates as a global data engineering company in the United States, the United Kingdom, the Netherlands, C... More
Innodata Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Innodata's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Innodata upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 30.46 | |||
| Value At Risk | (8.31) | |||
| Potential Upside | 10.53 |
Innodata Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Innodata's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Innodata's standard deviation. In reality, there are many statistical measures that can use Innodata historical prices to predict the future Innodata's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.46) | |||
| Total Risk Alpha | (0.62) | |||
| Treynor Ratio | (0.15) |
Innodata February 19, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.04) | |||
| Market Risk Adjusted Performance | (0.14) | |||
| Mean Deviation | 3.63 | |||
| Coefficient Of Variation | (1,487) | |||
| Standard Deviation | 5.34 | |||
| Variance | 28.49 | |||
| Information Ratio | (0.08) | |||
| Jensen Alpha | (0.46) | |||
| Total Risk Alpha | (0.62) | |||
| Treynor Ratio | (0.15) | |||
| Maximum Drawdown | 30.46 | |||
| Value At Risk | (8.31) | |||
| Potential Upside | 10.53 | |||
| Skewness | 0.6748 | |||
| Kurtosis | 2.19 |
Innodata Backtested Returns
Innodata holds Efficiency (Sharpe) Ratio of -0.0176, which attests that the entity had a -0.0176 % return per unit of risk over the last 3 months. Innodata exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Innodata's Standard Deviation of 5.34, market risk adjusted performance of (0.14), and Risk Adjusted Performance of (0.04) to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 2.41, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Innodata will likely underperform. At this point, Innodata has a negative expected return of -0.0968%. Please make sure to check out Innodata's accumulation distribution, and the relationship between the value at risk and day typical price , to decide if Innodata performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.23 |
Weak predictability
Innodata has weak predictability. Overlapping area represents the amount of predictability between Innodata time series from 21st of November 2025 to 5th of January 2026 and 5th of January 2026 to 19th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Innodata price movement. The serial correlation of 0.23 indicates that over 23.0% of current Innodata price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.23 | |
| Spearman Rank Test | 0.39 | |
| Residual Average | 0.0 | |
| Price Variance | 50.75 |
Innodata technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Innodata Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-one. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Innodata volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Innodata Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Innodata on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Innodata based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Innodata price pattern first instead of the macroeconomic environment surrounding Innodata. By analyzing Innodata's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Innodata's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Innodata specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2023 | 2024 | 2025 | 2026 (projected) | Days Sales Outstanding | 60.1 | 59.98 | 68.98 | 69.31 | PTB Ratio | 8.91 | 18.16 | 16.34 | 17.16 |
Innodata February 19, 2026 Technical Indicators
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 different 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 |
| Risk Adjusted Performance | (0.04) | |||
| Market Risk Adjusted Performance | (0.14) | |||
| Mean Deviation | 3.63 | |||
| Coefficient Of Variation | (1,487) | |||
| Standard Deviation | 5.34 | |||
| Variance | 28.49 | |||
| Information Ratio | (0.08) | |||
| Jensen Alpha | (0.46) | |||
| Total Risk Alpha | (0.62) | |||
| Treynor Ratio | (0.15) | |||
| Maximum Drawdown | 30.46 | |||
| Value At Risk | (8.31) | |||
| Potential Upside | 10.53 | |||
| Skewness | 0.6748 | |||
| Kurtosis | 2.19 |
Innodata February 19, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Innodata stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | 1.00 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 44.66 | ||
| Day Typical Price | 44.68 | ||
| Price Action Indicator | 0.15 | ||
| Market Facilitation Index | 0.15 |
Complementary Tools for Innodata Stock analysis
When running Innodata's price analysis, check to measure Innodata'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 Innodata is operating at the current time. Most of Innodata's value examination focuses on studying past and present price action to predict the probability of Innodata's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Innodata's price. Additionally, you may evaluate how the addition of Innodata to your portfolios can decrease your overall portfolio volatility.
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