Quantum Computing Stock Price Prediction
| QUBT Stock | USD 6.49 0.37 5.39% |
Momentum 40
Sell Extended
Oversold | Overbought |
EPS Estimate Current Year (0.25) | EPS Estimate Next Year (0.21) | Wall Street Target Price 8.5 | Quarterly Revenue Growth 1.02 |
Using Quantum Computing hype-based prediction, you can estimate the value of Quantum Computing from the perspective of Quantum Computing response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Quantum Computing using Quantum Computing's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Quantum using crowd psychology based on the activity and movement of Quantum Computing's stock price.
Quantum Computing Short Interest
An investor who is long Quantum Computing may also wish to track short interest. As short interest increases, investors should be becoming more worried about Quantum Computing and may potentially protect profits, hedge Quantum Computing with its derivative instruments, or be ready for some potential downside.
200 Day MA 0.8323 | Short Percent 0.0627 | Short Ratio 1.88 | Shares Short Prior Month 19.4 M | 50 Day MA 1.0635 |
Quantum Computing Hype to Price Pattern
Investor biases related to Quantum Computing's public news can be used to forecast risks associated with an investment in Quantum. The trend in average sentiment can be used to explain how an investor holding Quantum can time the market purely based on public headlines and social activities around Quantum Computing. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of Quantum Computing's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Quantum Computing.
Quantum Computing Implied Volatility | 2.14 |
Quantum Computing's implied volatility exposes the market's sentiment of Quantum Computing stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Quantum Computing'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 Quantum Computing stock will not fluctuate a lot when Quantum Computing's options are near their expiration.
The fear of missing out, i.e., FOMO, can cause potential investors in Quantum Computing to buy its stock at a price that has no basis in reality. In that case, they are not buying Quantum 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 stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Quantum Computing after-hype prediction price | USD 6.49 |
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.
Prediction based on Rule 16 of the current Quantum contract
Based on the Rule 16, the options market is currently suggesting that Quantum Computing will have an average daily up or down price movement of about 0.13% per day over the life of the 2025-04-17 option contract. With Quantum Computing trading at USD 6.49, that is roughly USD 0.00868 . If you think that the market is fully incorporating Quantum Computing's daily price movement you should consider acquiring Quantum Computing options at the current volatility level of 2.14%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Quantum |
Quantum Computing After-Hype Price Prediction Density Analysis
As far as predicting the price of Quantum Computing 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 Quantum Computing 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 Quantum Computing, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Quantum Computing Estimiated After-Hype Price Volatility
In the context of predicting Quantum Computing's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Quantum Computing's historical news coverage. Quantum Computing's after-hype downside and upside margins for the prediction period are 0.32 and 25.02, respectively. We have considered Quantum Computing'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
Quantum Computing is dangerous at this time. Analysis and calculation of next after-hype price of Quantum Computing is based on 3 months time horizon.
Quantum Computing Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Quantum Computing is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Quantum Computing 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 Quantum Computing, 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 |
1.43 | 18.69 | 0.06 | 0.16 | 10 Events / Month | 8 Events / Month | In about 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
6.49 | 6.49 | 0.00 |
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Quantum Computing Hype Timeline
Quantum Computing is at this time traded for 6.49. The entity has historical hype elasticity of 0.06, and average elasticity to hype of competition of 0.16. Quantum is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is at this time at 1.43%. %. The volatility of related hype on Quantum Computing is about 16491.18%, with the expected price after the next announcement by competition of 6.65. About 27.0% of the company outstanding shares are owned by corporate insiders. The company recorded a loss per share of 0.26. Quantum Computing last dividend was issued on the 3rd of July 2018. The entity had 1:200 split on the 3rd of July 2018. Given the investment horizon of 90 days the next forecasted press release will be in about 10 days. Check out Quantum Computing Basic Forecasting Models to cross-verify your projections.Quantum Computing Related Hype Analysis
Having access to credible news sources related to Quantum Computing's direct competition is more important than ever and may enhance your ability to predict Quantum Computing's future price movements. Getting to know how Quantum Computing'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 Quantum Computing may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| QBTS | D Wave Quantum | (0.19) | 10 per month | 10.32 | 0.21 | 27.88 | (11.97) | 84.86 | |
| IONQ | IONQ Inc | 0.81 | 7 per month | 9.15 | 0.07 | 16.51 | (12.16) | 62.59 | |
| QMCO | Quantum | (1.52) | 8 per month | 11.70 | 0.18 | 49.98 | (23.92) | 193.01 | |
| DM | Desktop Metal | 0.09 | 8 per month | 0.00 | (0.15) | 9.17 | (9.35) | 24.83 | |
| RGTI | Rigetti Computing | (0.38) | 9 per month | 11.63 | 0.25 | 42.22 | (20.00) | 103.45 | |
| STRC | STRC Old | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| RCAT | Red Cat Holdings | 0.60 | 8 per month | 7.63 | 0.10 | 22.88 | (13.15) | 50.11 | |
| SMCI | Super Micro Computer | 2.06 | 7 per month | 5.25 | 0.17 | 16.47 | (9.47) | 43.87 | |
| CRCT | Cricut Inc | (0.12) | 9 per month | 2.05 | 0.09 | 5.14 | (3.28) | 10.12 | |
| SSYS | Stratasys | 0.02 | 8 per month | 2.47 | 0.07 | 6.46 | (3.48) | 26.62 | |
| NNDM | Nano Dimension | (0.01) | 11 per month | 2.69 | 0.04 | 8.44 | (4.10) | 23.92 | |
| VLD | Velo3D Inc | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Quantum Computing Additional Predictive Modules
Most predictive techniques to examine Quantum price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Quantum using various technical indicators. When you analyze Quantum 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 Quantum Computing Predictive Indicators
The successful prediction of Quantum Computing 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 Quantum Computing, 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 Quantum Computing based on analysis of Quantum Computing hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Quantum Computing's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Quantum Computing's related companies. | 2023 | 2024 | 2025 (projected) | Dividend Yield | 0.0142 | 0.0164 | 0.0155 | Price To Sales Ratio | 169.9 | 152.91 | 211.43 |
Story Coverage note for Quantum Computing
The number of cover stories for Quantum Computing depends on current market conditions and Quantum Computing's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Quantum Computing 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 Quantum Computing'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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Quantum Computing Short Properties
Quantum Computing's future price predictability will typically decrease when Quantum Computing's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Quantum Computing often depends not only on the future outlook of the potential Quantum Computing'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. Quantum Computing's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 66.6 M | |
| Cash And Short Term Investments | 2.1 M |
Additional Tools for Quantum Stock Analysis
When running Quantum Computing's price analysis, check to measure Quantum Computing's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Quantum Computing is operating at the current time. Most of Quantum Computing's value examination focuses on studying past and present price action to predict the probability of Quantum Computing's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Quantum Computing's price. Additionally, you may evaluate how the addition of Quantum Computing to your portfolios can decrease your overall portfolio volatility.