QBTS AI stock prediction, Monte Carlo, and QML research
D-Wave Quantum gives public investors exposure to quantum annealing and optimization use cases. The stock is usually treated as a speculative quantum theme trade.
Ticker
QBTS
Exchange / Market
NYSE
Sector
Quantum computing
Theme
quantum annealing, optimization, and commercial quantum systems
Today's Public Snapshot
QBTS AI signal and IV regime
Latest backend snapshot: 2026-08-03. Data is rendered only when a public backend snapshot exists.
AI signal
Neutral
Next-session model label
Up probability
46%
55%+ Bullish, 45% or lower Bearish
IV regime
COMPRESSION
Options volatility context
IV view
Volatility compression
Opportunity score 54.8
How to read the QBTS AI percentage
The percentage is the estimated probability that QBTS closes higher in the next trading session. It is not a long-term price target and it is not a recommendation to buy or sell.
Why IV regime appears before prediction
Options volatility helps separate directional momentum from market-implied risk. Reading IV first makes the AI signal easier to interpret in context.
AI Prediction Snapshot
QBTS stock prediction result
QBTS prediction work should be read as a volatile basket signal, not a standalone answer. The live model can produce an ensemble up-probability, while this public snapshot keeps the SEO page useful and crawlable.
Public result
Speculative quantum volatility watch
Next trading session · 2026-08-03
Ensemble up probability
Live model
Run live AI Prediction
RF up probability
Live model
Shown after live run
LR up probability
Live model
Shown after live run
Daily volatility
Live model
Shown after live run
Sentiment score
Live model
Shown after live run
How to read this signal
- Use Batch Prediction to compare QBTS with IONQ, RGTI, QUBT, and DWAV.
- Check whether the next-session signal is supported by QML equity-curve persistence.
- Use Monte Carlo before sizing because small-cap quantum names can gap quickly.
Historical Accuracy
QBTS historical prediction win rate
Win rate is calculated only from records where the next trading-day close has been verified.
Win rate
51.7%
active
Monthly
51.7%
2026-07 15/29
Verified
29
Minimum 10
Correct
15
Next-session direction
High conf.
61.5%
13 verified records
Updated
2026-08-03
candidate model
QBTS historical prediction records
| Date | Signal | Probability | Bucket | Last close | Actual next close | Change | Result |
|---|---|---|---|---|---|---|---|
| 2026-08-03 | Bearish | 46% | no edge | $20.02 | - | - | Pending |
| 2026-07-31 | Bearish | 42% | high confidence | $18.39 | $19.98 | 8.62% | Miss |
| 2026-07-31 | Bearish | 42% | high confidence | $18.39 | $19.98 | 8.62% | Miss |
| 2026-07-30 | Bullish | 53% | no edge | $17.38 | $18.08 | 4.03% | Correct |
| 2026-07-29 | Bearish | 48% | no edge | $16.66 | $17.98 | 7.89% | Miss |
| 2026-07-28 | Bearish | 49% | no edge | $18.02 | $16.18 | -10.21% | Correct |
| 2026-07-27 | Bullish | 51% | no edge | $18.91 | $17.64 | -6.74% | Miss |
| 2026-07-24 | Bearish | 37% | high confidence | $16.43 | $19.51 | 18.75% | Miss |
| 2026-07-24 | Bearish | 37% | high confidence | $16.43 | $19.51 | 18.75% | Miss |
| 2026-07-23 | Bearish | 44% | medium confidence | $17.21 | $16.22 | -5.78% | Correct |
| 2026-07-22 | Bearish | 45% | medium confidence | $17.48 | $17.10 | -2.15% | Correct |
| 2026-07-22 | Bearish | 45% | medium confidence | $17.45 | $17.10 | -2.01% | Correct |
| 2026-07-21 | Bullish | 50% | no edge | $17.59 | $17.35 | -1.39% | Miss |
| 2026-07-21 | Bullish | 50% | no edge | $17.59 | $17.35 | -1.39% | Miss |
| 2026-07-20 | Bearish | 46% | no edge | $16.87 | $17.80 | 5.51% | Miss |
| 2026-07-17 | Bearish | 43% | high confidence | $16.49 | $16.72 | 1.39% | Miss |
| 2026-07-16 | Bearish | 50% | no edge | $17.47 | $16.73 | -4.24% | Correct |
| 2026-07-15 | Bearish | 47% | no edge | $18.53 | $16.93 | -8.63% | Correct |
| 2026-07-14 | Bullish | 52% | no edge | $19.06 | $18.28 | -4.09% | Miss |
| 2026-07-13 | Bullish | 52% | no edge | $19.13 | $18.95 | -0.94% | Miss |
| 2026-07-10 | Bearish | 35% | high confidence | $20.19 | $18.67 | -7.53% | Correct |
| 2026-07-10 | Bearish | 35% | high confidence | $20.19 | $18.67 | -7.53% | Correct |
| 2026-07-09 | Bearish | 36% | high confidence | $21.19 | $20.08 | -5.24% | Correct |
| 2026-07-09 | Bearish | 36% | high confidence | $21.19 | $20.08 | -5.24% | Correct |
| 2026-07-08 | Bearish | 45% | no edge | $20.79 | $21.16 | 1.78% | Miss |
| 2026-07-08 | Bearish | 45% | no edge | $20.79 | $21.16 | 1.78% | Miss |
| 2026-07-07 | Bearish | 42% | high confidence | $21.05 | $20.61 | -2.09% | Correct |
| 2026-07-07 | Bearish | 41% | high confidence | $21.05 | $20.61 | -2.09% | Correct |
| 2026-07-06 | Bearish | 42% | high confidence | $23.30 | $21.07 | -9.57% | Correct |
| 2026-07-06 | Bearish | 42% | high confidence | $23.30 | $21.07 | -9.57% | Correct |
Why Track It
D-Wave Quantum research context
Track QBTS when you need a high-volatility comparison point against IONQ, QSI, and broader AI infrastructure trades.
Research Angles
- Liquidity and volatility can dominate short-term price behavior.
- Theme rotation inside quantum stocks can separate QBTS from larger AI names.
- Batch Prediction helps compare QBTS against the rest of a quantum watchlist.
Workflow
How to research QBTS
Start with the module that matches the question, then compare the signal against risk and benchmark context.
Step 1
Start with Batch Prediction for relative ranking inside a quantum basket.
Step 2
Check QML equity curves for persistence versus IONQ and QSI.
Step 3
Use Monte Carlo to stress-test the next 10-day price range.
FAQ
QBTS stock prediction FAQ
What is this QBTS research page for?
This page organizes D-Wave Quantum research around AI Prediction, options IV regime context, QML equity-curve diagnostics, historical prediction records, and Monte Carlo risk workflows.
What does the QBTS AI prediction percentage mean?
The percentage is the model's estimated next-session up probability for QBTS. Readings at 55% or higher are labeled Bullish, 45% or lower are labeled Bearish, and the middle range is Neutral.
How is QBTS historical prediction win rate calculated?
Historical win rate only counts verified records where the next trading-day close is available. Pending predictions are not counted as wins or misses.
Why does this page show an IV regime for QBTS?
The IV regime summarizes options-implied volatility context, including skew and demand, so the AI signal can be read beside market-implied risk.
Is this QBTS page investment advice?
No. The page is for research and education only. It does not provide investment advice or a recommendation to buy or sell securities.
Related Research
Compare QBTS with nearby tickers
IONQ
IonQ
Track IONQ when you want to compare momentum, drawdown pressure, and model probability for a high-beta quantum computing name.
QSI
Quantum-Si
Track QSI when you want a smaller-cap innovation signal that is less directly tied to mega-cap technology beta.
QS
QuantumScape
Track QS when you want to measure whether battery-tech momentum is improving or fading against EV and growth-stock benchmarks.