Ibotta Etf Price Prediction
| IBTA Etf | USD 23.85 0.18 0.75% |
Momentum 38
Sell Extended
Oversold | Overbought |
Quarterly Earnings Growth (0.90) | EPS Estimate Next Quarter 0.3106 | EPS Estimate Current Year 1.7567 | EPS Estimate Next Year 1.2194 | Wall Street Target Price 28 |
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. We also analyze overall investor sentiment towards Ibotta using Ibotta's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Ibotta using crowd psychology based on the activity and movement of Ibotta's stock price.
Ibotta Implied Volatility | 0.77 |
Ibotta's implied volatility exposes the market's sentiment of Ibotta stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Ibotta's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Ibotta stock will not fluctuate a lot when Ibotta's options are near their expiration.
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 23.09 |
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.
Prediction based on Rule 16 of the current Ibotta contract
Based on the Rule 16, the options market is currently suggesting that Ibotta will have an average daily up or down price movement of about 0.0481% per day over the life of the 2026-03-20 option contract. With Ibotta trading at USD 23.85, that is roughly USD 0.0115 . If you think that the market is fully incorporating Ibotta's daily price movement you should consider acquiring Ibotta options at the current volatility level of 0.77%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Check out Ibotta Basic Forecasting Models to cross-verify your projections. 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 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 18.87 and 27.31, 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 not too volatile at this time. Analysis and calculation of next after-hype price of Ibotta is based on 3 months time horizon.
Ibotta Etf Price Outlook 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 |
0.52 | 4.22 | 0.76 | 0.01 | 8 Events / Month | 6 Events / Month | In about 8 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
23.85 | 23.09 | 3.19 |
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Ibotta Hype Timeline
Ibotta is currently traded for 23.85. The entity has historical hype elasticity of -0.76, and average elasticity to hype of competition of 0.01. Ibotta is anticipated to decline in value after the next headline, with the price expected to drop to 23.09. 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 -3.19%, whereas the daily expected return is currently at -0.52%. The volatility of related hype on Ibotta is about 16880.0%, with the expected price after the next announcement by competition of 23.86. About 47.0% of the company shares are held by company insiders. The company has price-to-book (P/B) ratio of 1.92. Some equities with similar Price to Book (P/B) outperform the market in the long run. Ibotta 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 8 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 | |||
| VTEX | VTEX | 0.02 | 9 per month | 0.00 | (0.17) | 2.98 | (4.49) | 16.08 | |
| DCBO | Docebo Inc | (0.29) | 8 per month | 0.00 | (0.29) | 2.95 | (3.89) | 11.00 | |
| YMT | Yimutian American Depositary | (0.04) | 2 per month | 5.15 | 0.06 | 12.06 | (8.33) | 29.18 | |
| BLND | Blend Labs | (0.05) | 9 per month | 0.00 | (0.11) | 4.97 | (6.01) | 14.11 | |
| RSKD | Riskified | 0.07 | 7 per month | 0.00 | (0.05) | 3.73 | (2.66) | 13.98 | |
| RDVT | Red Violet | 1.18 | 9 per month | 0.00 | (0.06) | 4.21 | (3.54) | 18.77 | |
| APPS | Digital Turbine | (0.23) | 12 per month | 0.00 | (0.04) | 6.20 | (6.68) | 37.27 | |
| EXOD | Exodus Movement | (0.12) | 8 per month | 0.00 | (0.14) | 6.42 | (8.84) | 32.74 | |
| OPFI | OppFi Inc | (0.18) | 11 per month | 2.63 | (0.01) | 4.53 | (3.79) | 11.04 | |
| YMM | Full Truck Alliance | (0.11) | 5 per month | 0.00 | (0.16) | 2.93 | (5.02) | 15.60 |
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.
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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.