Innodata Stock Overlap Studies Triple Exponential Moving Average T3
| INOD Stock | USD 39.33 6.66 14.48% |
| 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 Triple Exponential Moving Average (T3) indicator is developed by Tim Tillson as Innodata price series composite of a single exponential moving average, a double exponential moving average and a triple exponential moving average.
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 | ||
| Math Operators | ||
| 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.
| 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 |
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. | Driverless Cars Invested over 200 shares | |
 | Hedge Favorites Invested over 50 shares | |
 | Investor Favorites Invested few shares | |
 | Warren Buffett Holdings Invested few shares | |
 | Banking Invested over 20 shares | |
 | Momentum Invested few shares | |
 | Sector ETFs Invested over 100 shares | |
 | Macroaxis Index Invested over 500 shares | |
| Size And Style ETFs Invested over 90 shares | |
 | Dividend Beast Invested over 90 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 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 Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
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.