Innodata Stock Technical Analysis
| INOD Stock | USD 45.18 1.05 2.27% |
As of the 22nd of November, Innodata retains the Risk Adjusted Performance of 0.1407, market risk adjusted performance of 0.4748, and Downside Deviation of 4.87. 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 jensen alpha, as well as the relationship between the potential upside and skewness to decide if Innodata is priced fairly, providing market reflects its last-minute price of 45.18 per share. Given that Innodata has jensen alpha of 1.41, 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 |
Innodata Analyst Consensus
| Target Price | Advice | # of Analysts | |
| 5.0 | Strong Buy | 3 | 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.
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 thirty-six with a total number of output elements of twenty-five. 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.
Innodata Trend Analysis
Use this graph to draw trend lines for Innodata. You can use it to identify possible trend reversals for Innodata as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Innodata price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Innodata Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Innodata applied against its price change over selected period. The best fit line has a slop of 0.46 , which means Innodata will continue generating value for investors. It has 122 observation points and a regression sum of squares at 7990.13, which is the sum of squared deviations for the predicted Innodata price change compared to its average price change.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.
| 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 |
Innodata November 22, 2024 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 | 0.1407 | |||
| Market Risk Adjusted Performance | 0.4748 | |||
| Mean Deviation | 4.97 | |||
| Semi Deviation | 3.78 | |||
| Downside Deviation | 4.87 | |||
| Coefficient Of Variation | 580.42 | |||
| Standard Deviation | 10.46 | |||
| Variance | 109.35 | |||
| Information Ratio | 0.1618 | |||
| Jensen Alpha | 1.41 | |||
| Total Risk Alpha | 0.4278 | |||
| Sortino Ratio | 0.3477 | |||
| Treynor Ratio | 0.4648 | |||
| Maximum Drawdown | 90.24 | |||
| Value At Risk | (7.63) | |||
| Potential Upside | 9.36 | |||
| Downside Variance | 23.68 | |||
| Semi Variance | 14.3 | |||
| Expected Short fall | (6.04) | |||
| Skewness | 5.51 | |||
| Kurtosis | 39.3 |
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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