Quantum Computing Stock Forecast - Simple Moving Average

QUBT Stock  USD 11.31  0.47  4.34%   
Quantum Stock outlook is based on your current time horizon.
At this time, the relative strength index (RSI) of Quantum Computing's share price is approaching 45 indicating that the stock is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling Quantum Computing, making its price go up or down.

Momentum 45

 Impartial

 
Oversold
 
Overbought
The successful prediction of Quantum Computing's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Quantum Computing, which may create opportunities for some arbitrage if properly timed. Below are the key fundamental drivers impacting Quantum Computing's stock price prediction:
EPS Estimate Next Quarter
(0.05)
EPS Estimate Current Year
(0.17)
EPS Estimate Next Year
(0.17)
Wall Street Target Price
18
Quarterly Revenue Growth
2.802
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
14.1945
Short Percent
0.2437
Short Ratio
2.8
Shares Short Prior Month
45.3 M
50 Day MA
11.5686

Quantum Relative Strength Index

The Simple Moving Average forecasted value of Quantum Computing on the next trading day is expected to be 11.31 with a mean absolute deviation of 0.65 and the sum of the absolute errors of 39.04.

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

    
  1.15  
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 Simple Moving Average forecasted value of Quantum Computing on the next trading day is expected to be 11.31 with a mean absolute deviation of 0.65 and the sum of the absolute errors of 39.04.

Quantum Computing after-hype prediction price

    
  USD 11.31  
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.
Check out Historical Fundamental Analysis of Quantum Computing to cross-verify your projections.
For more information on how to buy Quantum Stock please use our How to Invest in Quantum Computing guide.

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 0.0719% per day over the life of the 2026-04-17 option contract. With Quantum Computing trading at USD 11.31, that is roughly USD 0.008129 . 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 1.15%. But if you have an opposite viewpoint you should avoid it and even consider selling them.

Open Interest Against 2026-04-17 Quantum Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Quantum Computing's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Quantum Computing's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Quantum Computing stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Quantum Computing's open interest, investors have to compare it to Quantum Computing's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Quantum Computing is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Quantum. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.

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.
A two period moving average forecast for Quantum Computing is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

Quantum Computing Simple Moving Average Price Forecast For the 29th of January

Given 90 days horizon, the Simple Moving Average forecasted value of Quantum Computing on the next trading day is expected to be 11.31 with a mean absolute deviation of 0.65, mean absolute percentage error of 0.71, and the sum of the absolute errors of 39.04.
Please note that although there have been many attempts to predict Quantum 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 Quantum Computing's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Quantum Computing Stock Forecast Pattern

Backtest Quantum Computing  Quantum Computing Price Prediction  Buy or Sell Advice  

Quantum Computing Forecasted Value

In the context of forecasting Quantum Computing's 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. Quantum Computing's downside and upside margins for the forecasting period are 5.10 and 17.52, respectively. We have considered Quantum Computing's 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.
Market Value
11.31
11.31
Expected Value
17.52
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Quantum Computing stock data series using in forecasting. Note that when a statistical model is used to represent Quantum Computing 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.
AICAkaike Information Criteria115.9245
BiasArithmetic mean of the errors 0.0961
MADMean absolute deviation0.6507
MAPEMean absolute percentage error0.055
SAESum of the absolute errors39.045
The simple moving average model is conceptually a linear regression of the current value of Quantum Computing price series against current and previous (unobserved) value of Quantum Computing. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

Predictive Modules for Quantum Computing

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Quantum Computing. 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.
Hype
Prediction
LowEstimatedHigh
5.1611.3117.46
Details
Intrinsic
Valuation
LowRealHigh
4.2210.3716.52
Details
Bollinger
Band Projection (param)
LowMiddleHigh
10.2811.5912.89
Details
1 Analysts
Consensus
LowTargetHigh
16.3818.0019.98
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Quantum Computing. Your research has to be compared to or analyzed against Quantum Computing's peers to derive any actionable benefits. When done correctly, Quantum Computing's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Quantum Computing.

Quantum Computing After-Hype Price 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 5.16 and 17.46, 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
11.31
11.31
After-hype Price
17.46
Upside
Quantum Computing is slightly risky 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 Outlook 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 ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.28 
6.21
  0.24 
  0.03 
9 Events / Month
8 Events / Month
In about 9 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
11.31
11.31
0.00 
739.29  
Notes

Quantum Computing Hype Timeline

Quantum Computing is at this time traded for 11.31. The entity has historical hype elasticity of 0.24, and average elasticity to hype of competition of 0.03. 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 -0.28%. %. The volatility of related hype on Quantum Computing is about 6750.0%, with the expected price after the next announcement by competition of 11.34. About 40.0% of the company shares are owned by institutional investors. The book value of Quantum Computing was at this time reported as 4.7. The company recorded a loss per share of 0.66. 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 9 days.
Check out Historical Fundamental Analysis of Quantum Computing to cross-verify your projections.
For more information on how to buy Quantum Stock please use our How to Invest in Quantum Computing guide.

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.
Hype
Elasticity
News
Density
Semi
Deviation
Information
Ratio
Potential
Upside
Value
At Risk
Maximum
Drawdown
NVTSNavitas Semiconductor Corp 0.63 10 per month 0.00 (0.05) 12.60 (9.92) 32.37 
WBTNWEBTOON Entertainment Common(0.34)9 per month 0.00 (0.11) 3.36 (4.52) 28.27 
CNXCConcentrix(0.37)7 per month 0.00 (0.08) 4.06 (5.11) 14.93 
GRNDGrindr Inc(0.33)7 per month 0.00 (0.04) 3.92 (3.77) 31.00 
BBAIBigBearai Holdings 0.19 22 per month 4.86 (0) 11.19 (8.09) 29.89 
VSHVishay Intertechnology 0.09 11 per month 2.41  0.05  6.56 (4.05) 10.69 
ACLSAxcelis Technologies(0.18)10 per month 2.53  0.04  5.46 (4.04) 12.52 
ALRMAlarm Holdings 0.35 15 per month 0.00 (0.07) 2.50 (2.86) 9.93 
ODDODDITY Tech Ltd 0.19 19 per month 0.00 (0.18) 4.24 (5.12) 18.82 
DXCDXC Technology Co 0.69 8 per month 2.19  0.04  3.28 (3.49) 16.29 

Other Forecasting Options for Quantum Computing

For every potential investor in Quantum, whether a beginner or expert, Quantum Computing's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Quantum Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Quantum. Basic forecasting techniques help filter out the noise by identifying Quantum Computing's price trends.

Quantum Computing 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 Quantum Computing stock to make a market-neutral strategy. Peer analysis of Quantum Computing could also be used in its relative valuation, which is a method of valuing Quantum Computing by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Quantum Computing Market Strength Events

Market strength indicators help investors to evaluate how Quantum Computing stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Quantum Computing shares will generate the highest return on investment. By undertsting and applying Quantum Computing stock market strength indicators, traders can identify Quantum Computing entry and exit signals to maximize returns.

Quantum Computing Risk Indicators

The analysis of Quantum Computing's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Quantum Computing's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting quantum stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

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.

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 Outstanding93.9 M
Cash And Short Term Investments78.9 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.