D Wave Stock Forward View - Double Exponential Smoothing
| QBTS Stock | USD 17.46 -0.09 -0.51% |
Momentum
Sell Extended
Oversold | Overbought |
EPS Estimate Next Quarter -0.06 | EPS Estimate Current Year -0.33 | EPS Estimate Next Year -0.37 | Wall Street Target Price 37.3986 | EPS Estimate Current Quarter -0.06 |
The hype-based view summarizes D Wave's price response to recent headlines and peer coverage. This sentiment summary combines D Wave's options data with short interest context.
D Wave Short Interest Pattern
D Wave's short interest, when combined with volume and price trend analysis, helps investors assess whether selling pressure in QBTS is likely to persist or abate.
200 Day MA 22.5156 | Short Percent 0.15 | Short Ratio 1.9 | Shares Short Prior Month 57.2 M | 50 Day MA 22.5822 |
Relative Strength Index (RSI) for QBTS
The Double Exponential Smoothing forecasted value of D Wave Quantum on the next trading day is expected to be 17.30 with a mean absolute deviation of 1.13 and the sum of the absolute errors of 66.80.D Wave Quantum Hype Impact Pattern
D Wave's market sentiment is a measurable proxy for investor optimism or fear. Monitoring changes in sentiment trend alongside price data gives early warning of potential reversals in QBTS.
For D Wave, sentiment-adjusted positioning means sizing exposure relative to how extreme the current market mood has become. High positive sentiment with elevated valuation is a classic signal to reduce risk.
D Wave Implied Volatility | 0.84 |
For long-term investors in D Wave, monitoring D Wave's implied volatility helps assess whether hedging costs are reasonable and whether the options market is pricing in unusually high uncertainty.
The Double Exponential Smoothing forecasted value of D Wave Quantum on the next trading day is expected to be 17.30 with a mean absolute deviation of 1.13 and the sum of the absolute errors of 66.80.D Wave after-hype prediction price | $ 17.7 |
This hype view sits alongside price forecasting, technical analysis, analyst consensus, earnings estimates, and momentum indicators.
Cross-verify projections for D Wave using Historical Fundamental Analysis of D Wave. The analysis adds historical context for the projection set.Rule 16 Summary for current QBTS contract
Based on Rule 16, the market-implied daily move for 2026-06-18 options is about 5.25%. This estimate is a volatility reference; at $ 17.46, it implies a move of about $ 0.92 per day.
Open Interest Metrics for QBTS 2026-06-18 Contracts
The open interest chart reports active D Wave option contracts, supporting a neutral view of positioning.
D Wave Additional Predictive Modules
Most predictive techniques to examine QBTS price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for QBTS using various technical indicators. When you analyze QBTS 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 |
Double Exponential Smoothing Price Forecast For the 17th of March 2026
Given 90 days horizon, the Double Exponential Smoothing forecasted value of D Wave Quantum on the next trading day is expected to be 17.30 with a mean absolute deviation of 1.13 , mean absolute percentage error of 2.31 , and the sum of the absolute errors of 66.80 .Please note that although there have been many attempts to predict QBTS Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that D Wave's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stock Forecast Pattern
| Backtest D Wave | D Wave Price Prediction | Research Analysis |
Forecasted Value
For the next trading day, Macroaxis evaluates D Wave's predictive range by looking for statistically meaningful downside and upside boundaries. The projected forecast band currently runs from roughly 11.21 on the downside to about 23.40 on the upside.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of D Wave stock data series using in forecasting. Note that when a statistical model is used to represent D Wave 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.| AIC | Akaike Information Criteria | Huge |
| Bias | Arithmetic mean of the errors | 0.2229 |
| MAD | Mean absolute deviation | 1.1322 |
| MAPE | Mean absolute percentage error | 0.0478 |
| SAE | Sum of the absolute errors | 66.7983 |
The degree to which D Wave's exhibits mean reversion depends on how efficiently the market prices new information. In highly covered equities, the mean reversion window tends to be shorter.
After-Hype Price Density Analysis
The after-hype price distribution for D Wave helps investors understand how much of D Wave's predicted return comes from the central scenario versus tail outcomes. Strategies that rely on tail events for D Wave are inherently more speculative.
Next price density |
| Expected price to next headline |
Estimiated After-Hype Price Volatility
Historical news patterns for D Wave reveal how the market has historically digested different types of information about D Wave's business and market environment. D Wave's after-hype downside and upside margins for the prediction period are 11.56 and 23.84, respectively. The model extrapolates these patterns to estimate likely price boundaries following the next significant.
Current Value
The next after-hype price estimate for D Wave Quantum is modeled on a 3 months horizon and is intended to show how price could normalize after sentiment pressure fades. This view is most useful when investors want to compare sentiment-driven price extension with a more measured post-news scenario.
Price Outlook Analysis
Have you ever been surprised when a price of a Company such as D Wave is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading D Wave 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 D Wave, 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 |
0.43 | 6.09 | 0.19 | 0.29 | 9 Events | 8 Events | In 9 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
17.46 | 17.70 | 1.09 |
|
Hype Timeline
D Wave Quantum is at this time traded for 17.46. The company has historical hype elasticity of 0.19, and average elasticity to hype of competition of 0.29. QBTS is anticipated to increase in value after the next headline, with the price projected to jump to 17.7 or above. The average volatility of media hype impact on the company the price is over 100%. The price appreciation on the next news is projected to be 1.09%, whereas the daily expected return is at this time at -0.43%. The volatility of related hype on D Wave is about 904.9%, with the expected price after the next announcement by competition of 17.75. The company reported previous year's revenue of 24.59 M. Net Loss for the year was -355.06 M with profit before overhead, payroll, taxes, and interest of 20.31 M. Given the investment horizon of 90 days the next anticipated press release will be in 9 days. Cross-verify projections for D Wave using Historical Fundamental Analysis of D Wave. The analysis adds historical context for the projection set.Related Hype Analysis
Peer hype analysis helps investors build a more complete picture of D Wave's competitive environment by quantifying the market's sensitivity to news across all major players in D Wave's sector.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| RGTI | Rigetti Computing | 0.40 | 8 per month | 0.00 | -0.12 | 6.98 | -8.76 | 26.99 | |
| IONQ | IONQ Inc | 0.35 | 10 per month | 0.00 | -0.1 | 8.98 | -8.14 | 27.84 | |
| PCOR | Procore Technologies | 1.05 | 11 per month | 0.00 | -0.12 | 4.15 | -6.65 | 15.96 | |
| QXO | QXO Inc | -1.12 | 10 per month | 3.15 | 0.01 | 5.97 | -4.84 | 27.19 | |
| SAIL | SailPoint Common Stock | -1.17 | 11 per month | 0.00 | -0.09 | 4.60 | -6.81 | 15.18 | |
| GTM | ZoomInfo Technologies | 0.23 | 10 per month | 0.00 | -0.21 | 4.40 | -6.51 | 17.95 | |
| DAY | Dayforce | -0.11 | 4 per month | 0.00 | 0.29 | 0.29 | -0.25 | 0.93 | |
| JKHY | Jack Henry Associates | 3.01 | 10 per month | 0.00 | -0.03 | 2.77 | -2.34 | 9.90 | |
| SWKS | Skyworks Solutions | 0.72 | 10 per month | 0.00 | -0.12 | 2.25 | -4.47 | 11.42 | |
| MTSI | MACOM Technology Solutions | 3.37 | 11 per month | 3.23 | 0.1 | 5.41 | -5.15 | 22.35 |
Other Forecasting Options for D Wave
The price trajectory of QBTS is the primary concern for any investor assessing it as an opportunity. QBTS Stock price charts are filled with noise that can easily mislead uninformed investment decisions.D Wave Related Equities
The following equities are related to D Wave within the Information Technology space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing D Wave against peers on metrics such as P/E, margins, and return on equity helps contextualize its positioning and identify relative strengths or weaknesses.
| Risk & Return | Correlation |
D Wave Market Strength Events
Understanding the market strength of D Wave stock enables investors to assess the security's momentum and responsiveness to broader market forces. These indicators are essential tools for timing trades in D Wave Quantum with greater precision.
D Wave Risk Indicators
Reviewing D Wave's basic risk indicators is essential for investors who want to forecast its price and manage their investment risk effectively. This analysis helps identify the amount of risk involved in holding D Wave's and informs decisions about hedging and position.
| Mean Deviation | 4.72 | |||
| Standard Deviation | 6.19 | |||
| Variance | 38.26 |
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 D Wave
The amount of media and story coverage tied to D Wave Quantum can signal where market attention is concentrating at the moment. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.
Contributor Headline
Latest Perspective From Macroaxis
D Wave Short Properties
Reviewing short-oriented indicators for D Wave Quantum is useful because long and short participants often create very different signals for timing and volatility. The practical goal is to identify when the balance between long and short participation may be changing the quality of the setup.
| Common Stock Shares Outstanding | 321.2 M | |
| Cash And Short Term Investments | 884.5 M |
Additional Tools for QBTS Stock Analysis
| Stock Tickers Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites | |
| Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
| Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
| Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
| Earnings Calls Check upcoming earnings announcements updated hourly across public exchanges | |
| Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
| Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
| Technical Analysis Check basic technical indicators and analysis based on most latest market data |