Exela Technologies Price Prediction
| XELADelisted Stock | USD 1.11 0.01 0.89% |
Oversold Vs Overbought
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Oversold | Overbought |
Using Exela Technologies hype-based prediction, you can estimate the value of Exela Technologies from the perspective of Exela Technologies response to recently generated media hype and the effects of current headlines on its competitors.
The fear of missing out, i.e., FOMO, can cause potential investors in Exela Technologies to buy its pink sheet at a price that has no basis in reality. In that case, they are not buying Exela because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell pink sheets at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Exela Technologies after-hype prediction price | USD 1.17 |
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 pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Exela |
Exela Technologies After-Hype Price Prediction Density Analysis
As far as predicting the price of Exela Technologies 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 Exela Technologies 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 Pink Sheet prices, such as prices of Exela Technologies, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Exela Technologies Estimiated After-Hype Price Volatility
In the context of predicting Exela Technologies' pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Exela Technologies' historical news coverage. Exela Technologies' after-hype downside and upside margins for the prediction period are 0.06 and 7.19, respectively. We have considered Exela Technologies' 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
Exela Technologies is abnormally volatile at this time. Analysis and calculation of next after-hype price of Exela Technologies is based on 3 months time horizon.
Exela Technologies Pink Sheet Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Exela Technologies is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Exela Technologies 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 Pink Sheet 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 Exela Technologies, 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 |
1.00 | 6.02 | 0.06 | 0.03 | 34 Events / Month | 8 Events / Month | In about 34 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
1.11 | 1.17 | 5.41 |
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Exela Technologies Hype Timeline
Exela Technologies is at this time traded for 1.11. The entity has historical hype elasticity of 0.06, and average elasticity to hype of competition of 0.03. Exela is expected to increase in value after the next headline, with the price projected to jump to 1.17 or above. The average volatility of media hype impact on the company the price is over 100%. The price jump on the next news is estimated to be 5.41%, whereas the daily expected return is at this time at -1.0%. The volatility of related hype on Exela Technologies is about 21890.91%, with the expected price after the next announcement by competition of 1.14. Exela Technologies currently holds about 10.4 M in cash with 3.56 M of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 0.09. Given the investment horizon of 90 days the next expected press release will be in about 34 days. Check out Your Current Watchlist to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in bureau of economic analysis.Exela Technologies Related Hype Analysis
Having access to credible news sources related to Exela Technologies' direct competition is more important than ever and may enhance your ability to predict Exela Technologies' future price movements. Getting to know how Exela Technologies' 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 Exela Technologies may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| HTCR | HeartCore Enterprises | 0.15 | 9 per month | 5.89 | 0.17 | 14.63 | (10.17) | 31.62 | |
| KBNT | Kubient | 0.08 | 5 per month | 5.26 | (0.01) | 7.94 | (9.80) | 59.23 | |
| MVLA | Movella Holdings | 0.02 | 1 per month | 3.50 | 0.07 | 8.82 | (5.77) | 44.13 | |
| IFBD | Infobird Co | (0.06) | 9 per month | 0.00 | (0.04) | 8.11 | (7.55) | 25.02 | |
| QH | Quhuo | 0.01 | 8 per month | 5.47 | 0.13 | 14.56 | (8.33) | 329.09 | |
| CXAI | CXApp Inc | 0.01 | 5 per month | 0.00 | (0.22) | 7.01 | (8.13) | 29.23 | |
| BMR | Beamr Imaging Ltd | 0.03 | 8 per month | 0.00 | (0.12) | 6.82 | (5.23) | 24.22 | |
| SOUN | SoundHound AI | 0.07 | 8 per month | 4.09 | 0.08 | 7.92 | (7.71) | 39.21 | |
| IDAI | Trust Stamp | 0.00 | 5 per month | 0.00 | (0.17) | 5.88 | (11.11) | 47.05 | |
| INPX | Inpixon | (0.02) | 1 per month | 0.00 | (0.22) | 5.71 | (12.00) | 49.23 | |
| PRST | Presto Automation | (0.02) | 6 per month | 0.00 | (0.11) | 23.46 | (27.69) | 125.07 | |
| AI | C3 Ai Inc | 0.06 | 7 per month | 2.31 | 0.12 | 6.82 | (5.04) | 26.01 |
Exela Technologies Additional Predictive Modules
Most predictive techniques to examine Exela price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Exela using various technical indicators. When you analyze Exela 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 Exela Technologies Predictive Indicators
The successful prediction of Exela Technologies stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as Exela Technologies, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of Exela Technologies based on analysis of Exela Technologies hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Exela Technologies's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Exela Technologies's related companies.
Story Coverage note for Exela Technologies
The number of cover stories for Exela Technologies depends on current market conditions and Exela Technologies' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Exela Technologies 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 Exela Technologies' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Exela Technologies Short Properties
Exela Technologies' future price predictability will typically decrease when Exela Technologies' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Exela Technologies often depends not only on the future outlook of the potential Exela Technologies' 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. Exela Technologies' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 6 M | |
| Cash And Short Term Investments | 67.2 M |
Check out Your Current Watchlist to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in bureau of economic analysis. You can also try the Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
Other Consideration for investing in Exela Pink Sheet
If you are still planning to invest in Exela Technologies check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Exela Technologies' history and understand the potential risks before investing.
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