Ibotta, Etf Price Prediction
| IBTA Etf | USD 70.43 0.19 0.27% |
Oversold Vs Overbought
64
Oversold | Overbought |
EPS Estimate Current Year 0.21 | EPS Estimate Next Year 2.75 | Wall Street Target Price 96.33 | Quarterly Revenue Growth 0.136 |
Using Ibotta, hype-based prediction, you can estimate the value of Ibotta, from the perspective of Ibotta, 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 Ibotta, to buy its etf at a price that has no basis in reality. In that case, they are not buying Ibotta, 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 etfs at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Ibotta, after-hype prediction price | USD 69.8 |
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 etf price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Ibotta, |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Ibotta,'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.
Ibotta, After-Hype Price Prediction Density Analysis
As far as predicting the price of Ibotta, 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 Ibotta, 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 Etf prices, such as prices of Ibotta,, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Ibotta, Estimiated After-Hype Price Volatility
In the context of predicting Ibotta,'s etf value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Ibotta,'s historical news coverage. Ibotta,'s after-hype downside and upside margins for the prediction period are 66.24 and 73.36, respectively. We have considered Ibotta,'s 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
Ibotta, is very steady at this time. Analysis and calculation of next after-hype price of Ibotta, is based on 3 months time horizon.
Ibotta, Etf Price Prediction Analysis
Have you ever been surprised when a price of a ETF such as Ibotta, is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Ibotta, 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 Etf 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 Ibotta,, 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 |
0.45 | 3.56 | 0.63 | 0.33 | 9 Events / Month | 8 Events / Month | In about 9 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
70.43 | 69.80 | 0.89 |
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Ibotta, Hype Timeline
Ibotta, is currently traded for 70.43. The entity has historical hype elasticity of -0.63, and average elasticity to hype of competition of 0.33. Ibotta, is anticipated to decline in value after the next headline, with the price expected to drop to 69.8. The average volatility of media hype impact on the company price is over 100%. The price decrease on the next news is expected to be -0.89%, whereas the daily expected return is currently at 0.45%. The volatility of related hype on Ibotta, is about 491.71%, with the expected price after the next announcement by competition of 70.76. About 51.0% of the company shares are held by company insiders. The company last dividend was issued on the 1st of April 2020. Given the investment horizon of 90 days the next anticipated press release will be in about 9 days. Check out Ibotta, Basic Forecasting Models to cross-verify your projections.Ibotta, Related Hype Analysis
Having access to credible news sources related to Ibotta,'s direct competition is more important than ever and may enhance your ability to predict Ibotta,'s future price movements. Getting to know how Ibotta,'s 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 Ibotta, may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| U | Unity Software | 2.23 | 8 per month | 3.30 | 0.1 | 8.52 | (5.61) | 17.78 | |
| DJCO | Daily Journal Corp | (1.11) | 9 per month | 2.03 | 0.07 | 3.45 | (3.02) | 17.89 | |
| AI | C3 Ai Inc | 5.50 | 5 per month | 2.23 | 0.15 | 6.94 | (5.04) | 26.01 | |
| AZ | A2Z Smart Technologies | 0.33 | 11 per month | 3.87 | 0.29 | 15.58 | (7.28) | 44.37 | |
| BL | Blackline | (0.97) | 10 per month | 1.30 | 0.12 | 3.61 | (2.19) | 7.65 | |
| DT | Dynatrace Holdings LLC | (0.05) | 8 per month | 1.31 | 0.02 | 2.01 | (2.52) | 6.98 | |
| DV | DoubleVerify Holdings | 0.87 | 8 per month | 1.93 | (0.01) | 3.51 | (4.04) | 10.96 | |
| EB | Eventbrite Class A | 0.11 | 9 per month | 2.68 | 0.01 | 4.74 | (3.55) | 14.41 | |
| ML | MoneyLion | 0.48 | 10 per month | 3.12 | 0.19 | 10.83 | (5.05) | 30.38 | |
| PD | Pagerduty | (0.15) | 10 per month | 2.45 | (0.03) | 3.71 | (4.46) | 9.49 |
Ibotta, Additional Predictive Modules
Most predictive techniques to examine Ibotta, price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Ibotta, using various technical indicators. When you analyze Ibotta, 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 Ibotta, Predictive Indicators
The successful prediction of Ibotta, 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 Ibotta,, 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 Ibotta, based on analysis of Ibotta, hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Ibotta,'s market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Ibotta,'s related companies.
Story Coverage note for Ibotta,
The number of cover stories for Ibotta, depends on current market conditions and Ibotta,'s risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Ibotta, 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 Ibotta,'s long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Ibotta, Short Properties
Ibotta,'s future price predictability will typically decrease when Ibotta,'s long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Ibotta, often depends not only on the future outlook of the potential Ibotta,'s 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. Ibotta,'s indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 30.2 M | |
| Cash And Short Term Investments | 62.6 M |
Other Information on Investing in Ibotta, Etf
Ibotta, financial ratios help investors to determine whether Ibotta, Etf is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Ibotta, with respect to the benefits of owning Ibotta, security.