Innodata Stock Overlap Studies Bollinger Bands
| INOD Stock | USD 5.74 0.05 0.88% |
| Symbol |
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Innodata middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for Innodata. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
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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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
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.
| 2023 | 2024 (projected) | Dividend Yield | 0.004413 | 0.004634 | Price To Sales Ratio | 2.64 | 1.76 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Innodata's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
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. | Momentum Invested a lot of shares | |
 | Chemicals Invested over 40 shares | |
 | Baby Boomer Prospects Invested over 50 shares | |
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 tightly coupled 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 Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.
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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Is Innodata's industry 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 176.778 | Earnings Share (0.03) | Revenue Per Share 3.085 | Quarterly Revenue Growth 0.348 | Return On Assets 0.0037 |
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.