Innodata Stock Forecast - 8 Period Moving Average
| INOD Stock | USD 38.71 4.54 13.29% |
The 8 Period Moving Average forecasted value of Innodata on the next trading day is expected to be 37.25 with a mean absolute deviation of 3.92 and the sum of the absolute errors of 207.51. Innodata Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Innodata stock prices and determine the direction of Innodata's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Innodata's historical fundamentals, such as revenue growth or operating cash flow patterns.
Innodata |
Open Interest Against 2025-03-21 Innodata Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Innodata's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Innodata's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Innodata stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Innodata's open interest, investors have to compare it to Innodata's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Innodata is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Innodata. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Innodata 8 Period Moving Average Price Forecast For the 1st of February
Given 90 days horizon, the 8 Period Moving Average forecasted value of Innodata on the next trading day is expected to be 37.25 with a mean absolute deviation of 3.92, mean absolute percentage error of 22.74, and the sum of the absolute errors of 207.51.Please note that although there have been many attempts to predict Innodata Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Innodata's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Innodata Stock Forecast Pattern
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Innodata Forecasted Value
In the context of forecasting Innodata's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Innodata's downside and upside margins for the forecasting period are 25.27 and 49.23, respectively. We have considered Innodata's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Innodata stock data series using in forecasting. Note that when a statistical model is used to represent Innodata stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 106.5315 |
| Bias | Arithmetic mean of the errors | -0.4031 |
| MAD | Mean absolute deviation | 3.9153 |
| MAPE | Mean absolute percentage error | 0.0986 |
| SAE | Sum of the absolute errors | 207.5088 |
Predictive Modules for Innodata
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Innodata. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Other Forecasting Options for Innodata
For every potential investor in Innodata, whether a beginner or expert, Innodata's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Innodata Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Innodata. Basic forecasting techniques help filter out the noise by identifying Innodata's price trends.Innodata Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Innodata stock to make a market-neutral strategy. Peer analysis of Innodata could also be used in its relative valuation, which is a method of valuing Innodata by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Innodata Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Innodata's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Innodata's current price.| Cycle Indicators | ||
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| Volume Indicators |
Innodata Market Strength Events
Market strength indicators help investors to evaluate how Innodata stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Innodata shares will generate the highest return on investment. By undertsting and applying Innodata stock market strength indicators, traders can identify Innodata entry and exit signals to maximize returns.
Innodata Risk Indicators
The analysis of Innodata's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Innodata's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting innodata stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 6.17 | |||
| Semi Deviation | 5.57 | |||
| Standard Deviation | 11.4 | |||
| Variance | 130.02 | |||
| Downside Variance | 41.08 | |||
| Semi Variance | 30.99 | |||
| Expected Short fall | (7.83) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Also 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.When determining whether Innodata is a strong investment it is important to analyze Innodata's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Innodata's future performance. For an informed investment choice regarding Innodata Stock, refer to the following important reports:Check out Historical Fundamental Analysis of Innodata to cross-verify your projections. For information on how to trade Innodata Stock refer to our How to Trade Innodata Stock guide.You can also try the Stocks Directory module to find actively traded stocks across global markets.
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 | Quarterly Revenue Growth 1.356 | Return On Assets |
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.