ILearningEngines Stock Forecast - Double Exponential Smoothing
| AILE Stock | 0.42 0.00 0.00% |
ILearningEngines Stock outlook is based on your current time horizon. Investors can use this forecasting interface to forecast ILearningEngines stock prices and determine the direction of iLearningEngines's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of ILearningEngines' historical fundamentals, such as revenue growth or operating cash flow patterns.
At the present time the relative strength indicator of ILearningEngines' share price is below 20 . This suggests that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
EPS Estimate Current Year (2.40) | EPS Estimate Next Year 0.16 | Wall Street Target Price 18 | Quarterly Revenue Growth 0.339 |
Using ILearningEngines hype-based prediction, you can estimate the value of iLearningEngines from the perspective of ILearningEngines response to recently generated media hype and the effects of current headlines on its competitors.
The Double Exponential Smoothing forecasted value of iLearningEngines on the next trading day is expected to be 0.42 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. ILearningEngines after-hype prediction price | USD 0.42 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
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ILearningEngines Additional Predictive Modules
Most predictive techniques to examine ILearningEngines price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for ILearningEngines using various technical indicators. When you analyze ILearningEngines 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 | ||
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| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
ILearningEngines Double Exponential Smoothing Price Forecast For the 29th of January
Given 90 days horizon, the Double Exponential Smoothing forecasted value of iLearningEngines on the next trading day is expected to be 0.42 with a mean absolute deviation of 0.00, mean absolute percentage error of 0.00, and the sum of the absolute errors of 0.00.Please note that although there have been many attempts to predict ILearningEngines 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 ILearningEngines' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
ILearningEngines Stock Forecast Pattern
| Backtest ILearningEngines | ILearningEngines Price Prediction | Buy or Sell Advice |
ILearningEngines Forecasted Value
In the context of forecasting ILearningEngines' 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. ILearningEngines' downside and upside margins for the forecasting period are 0.42 and 0.42, respectively. We have considered ILearningEngines' 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 Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of ILearningEngines stock data series using in forecasting. Note that when a statistical model is used to represent ILearningEngines 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 | Huge |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0 |
| MAPE | Mean absolute percentage error | 0.0 |
| SAE | Sum of the absolute errors | 0.0 |
Predictive Modules for ILearningEngines
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as iLearningEngines. 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.ILearningEngines After-Hype Price Density Analysis
As far as predicting the price of ILearningEngines at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in ILearningEngines or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of ILearningEngines, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
ILearningEngines Estimiated After-Hype Price Volatility
In the context of predicting ILearningEngines' stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on ILearningEngines' historical news coverage. ILearningEngines' after-hype downside and upside margins for the prediction period are 0.42 and 0.42, respectively. We have considered ILearningEngines' daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
ILearningEngines is very steady at this time. Analysis and calculation of next after-hype price of iLearningEngines is based on 3 months time horizon.
ILearningEngines Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as ILearningEngines is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading ILearningEngines backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with ILearningEngines, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.00 | 0.00 | 0.00 | 0.00 | 1 Events / Month | 1 Events / Month | Very soon |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
0.42 | 0.42 | 0.00 |
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ILearningEngines Hype Timeline
iLearningEngines is presently traded for 0.42. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. ILearningEngines is expected not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is expected to be very small, whereas the daily expected return is presently at 0.0%. %. The volatility of related hype on ILearningEngines is about 0.0%, with the expected price after the next announcement by competition of 0.42. About 79.0% of the company shares are held by company insiders. The company had not issued any dividends in recent years. Given the investment horizon of 90 days the next expected press release will be very soon. Check out Historical Fundamental Analysis of ILearningEngines to cross-verify your projections.ILearningEngines Related Hype Analysis
Having access to credible news sources related to ILearningEngines' direct competition is more important than ever and may enhance your ability to predict ILearningEngines' future price movements. Getting to know how ILearningEngines' peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how ILearningEngines may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| DGGXF | DigitalX Limited | 0.40 | 1 per month | 17.71 | 0.13 | 117.39 | (35.78) | 309.73 | |
| NYWKF | NTG Clarity Networks | (0.47) | 2 per month | 0.00 | (0.10) | 7.81 | (7.55) | 23.70 | |
| ACFN | Acorn Energy Common | (19.72) | 2 per month | 0.00 | (0.03) | 8.75 | (9.20) | 44.98 | |
| RAASY | Cloopen Group Holding | 0.00 | 0 per month | 5.40 | 0.14 | 12.61 | (9.09) | 41.47 | |
| WHEN | World Health Energy | 0.42 | 3 per month | 24.80 | 0.20 | 100.00 | (50.00) | 150.00 | |
| INVU | Investview | 0.00 | 0 per month | 0.00 | (0.12) | 2.59 | (2.99) | 9.68 | |
| MHUBF | Minehub Technologies | (0.21) | 1 per month | 4.61 | (0.0001) | 10.14 | (7.35) | 24.65 | |
| VSQTF | Victory Square Technologies | 0.00 | 0 per month | 5.07 | 0.01 | 8.62 | (8.20) | 40.55 | |
| TFSVF | 24SevenOffice Group AB | 0.00 | 0 per month | 0.00 | 0.03 | 0.00 | 0.00 | 37.50 | |
| EAXR | Flint Telecom Group | 0.00 | 0 per month | 13.86 | 0.05 | 33.33 | (33.75) | 135.90 |
Other Forecasting Options for ILearningEngines
For every potential investor in ILearningEngines, whether a beginner or expert, ILearningEngines' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. ILearningEngines Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in ILearningEngines. Basic forecasting techniques help filter out the noise by identifying ILearningEngines' price trends.ILearningEngines 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 ILearningEngines stock to make a market-neutral strategy. Peer analysis of ILearningEngines could also be used in its relative valuation, which is a method of valuing ILearningEngines by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
ILearningEngines Market Strength Events
Market strength indicators help investors to evaluate how ILearningEngines stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading ILearningEngines shares will generate the highest return on investment. By undertsting and applying ILearningEngines stock market strength indicators, traders can identify iLearningEngines entry and exit signals to maximize returns.
Story Coverage note for ILearningEngines
The number of cover stories for ILearningEngines depends on current market conditions and ILearningEngines' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that ILearningEngines is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about ILearningEngines' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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ILearningEngines Short Properties
ILearningEngines' future price predictability will typically decrease when ILearningEngines' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of iLearningEngines often depends not only on the future outlook of the potential ILearningEngines' investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. ILearningEngines' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 95.8 M | |
| Cash And Short Term Investments | 145.7 K |
Check out Historical Fundamental Analysis of ILearningEngines to cross-verify your projections. For information on how to trade ILearningEngines Stock refer to our How to Trade ILearningEngines Stock guide.You can also try the Stock Tickers module to use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites.
Is Software - Infrastructure 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 ILearningEngines. If investors know ILearningEngines 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 ILearningEngines listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of iLearningEngines is measured differently than its book value, which is the value of ILearningEngines that is recorded on the company's balance sheet. Investors also form their own opinion of ILearningEngines' value that differs from its market value or its book value, called intrinsic value, which is ILearningEngines' 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 ILearningEngines' market value can be influenced by many factors that don't directly affect ILearningEngines' 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 ILearningEngines' value and its price as these two are different measures arrived at by different means. Investors typically determine if ILearningEngines is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ILearningEngines' 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.