QS AI stock prediction, Monte Carlo, and QML research
QuantumScape is tied to solid-state battery development and electric vehicle supply chains. The stock can trade as a technology milestone story as much as a financial statement story.
Ticker
QS
Exchange / Market
NYSE
Sector
Battery technology
Theme
solid-state battery commercialization
Today's Public Snapshot
QS AI signal and IV regime
Latest backend snapshot: 2026-08-03. Data is rendered only when a public backend snapshot exists.
AI signal
Pending
Next-session model label
Up probability
-
55%+ Bullish, 45% or lower Bearish
IV regime
COMPRESSION
Options volatility context
IV view
Volatility compression
Opportunity score 49.0
How to read the QS AI percentage
The percentage is the estimated probability that QS 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.
Historical Accuracy
QS historical prediction win rate
Win rate is calculated only from records where the next trading-day close has been verified.
Win rate
50.0%
active
Monthly
50.0%
2026-07 14/28
Verified
28
Minimum 10
Correct
14
Next-session direction
High conf.
45.5%
11 verified records
Updated
2026-08-03
candidate model
QS historical prediction records
| Date | Signal | Probability | Bucket | Last close | Actual next close | Change | Result |
|---|---|---|---|---|---|---|---|
| 2026-08-03 | Bullish | 51% | no edge | $5.50 | - | - | Pending |
| 2026-08-03 | Bullish | 51% | no edge | $5.50 | - | - | Pending |
| 2026-07-31 | Bearish | 44% | medium confidence | $5.19 | $5.34 | 2.89% | Miss |
| 2026-07-30 | Bearish | 43% | medium confidence | $5.12 | $5.22 | 1.95% | Miss |
| 2026-07-29 | Bearish | 47% | no edge | $4.95 | $5.23 | 5.66% | Miss |
| 2026-07-28 | Bullish | 51% | no edge | $4.91 | $4.96 | 1.08% | Correct |
| 2026-07-28 | Bullish | 51% | no edge | $4.91 | $4.96 | 1.08% | Correct |
| 2026-07-27 | Bearish | 49% | no edge | $5.08 | $5.17 | 1.67% | Miss |
| 2026-07-27 | Bearish | 49% | no edge | $5.08 | $5.17 | 1.67% | Miss |
| 2026-07-24 | Bullish | 51% | no edge | $4.88 | $5.18 | 6.04% | Correct |
| 2026-07-23 | Bearish | 47% | no edge | $5.17 | $4.88 | -5.42% | Correct |
| 2026-07-23 | Bearish | 47% | no edge | $5.17 | $4.88 | -5.42% | Correct |
| 2026-07-22 | Bullish | 64% | high confidence | $6.07 | $5.12 | -15.66% | Miss |
| 2026-07-21 | Bullish | 61% | high confidence | $6.01 | $5.87 | -2.41% | Miss |
| 2026-07-20 | Bullish | 59% | high confidence | $5.90 | $6.05 | 2.54% | Correct |
| 2026-07-17 | Bullish | 57% | medium confidence | $5.75 | $5.89 | 2.49% | Correct |
| 2026-07-17 | Bullish | 57% | medium confidence | $5.75 | $5.89 | 2.49% | Correct |
| 2026-07-16 | Bullish | 53% | no edge | $6.04 | $5.86 | -2.90% | Miss |
| 2026-07-16 | Bullish | 53% | no edge | $6.04 | $5.86 | -2.90% | Miss |
| 2026-07-15 | Bearish | 35% | high confidence | $6.59 | $5.91 | -10.39% | Correct |
| 2026-07-15 | Bearish | 35% | high confidence | $6.59 | $5.91 | -10.39% | Correct |
| 2026-07-14 | Bearish | 34% | high confidence | $6.39 | $6.43 | 0.63% | Miss |
| 2026-07-14 | Bearish | 34% | high confidence | $6.39 | $6.43 | 0.63% | Miss |
| 2026-07-13 | Bearish | 38% | high confidence | $6.35 | $6.42 | 1.10% | Miss |
| 2026-07-13 | Bearish | 38% | high confidence | $6.35 | $6.42 | 1.10% | Miss |
| 2026-07-10 | Bearish | 44% | medium confidence | $6.67 | $6.28 | -5.92% | Correct |
| 2026-07-09 | Bearish | 42% | high confidence | $6.91 | $6.58 | -4.78% | Correct |
| 2026-07-08 | Bullish | 50% | no edge | $6.50 | $6.91 | 6.34% | Correct |
| 2026-07-07 | Bearish | 43% | high confidence | $6.76 | $6.63 | -1.92% | Correct |
| 2026-07-06 | Bullish | 55% | medium confidence | $7.29 | $6.79 | -6.79% | Miss |
Why Track It
QuantumScape research context
Track QS when you want to measure whether battery-tech momentum is improving or fading against EV and growth-stock benchmarks.
Research Angles
- Milestone expectations can create gap risk around announcements.
- Drawdown control is important because speculative battery names can trend hard in both directions.
- AI Prediction can help separate price momentum from headline excitement.
Workflow
How to research QS
Start with the module that matches the question, then compare the signal against risk and benchmark context.
Step 1
Use AI Prediction for the next-session probability view.
Step 2
Review QML strategy metrics for win rate, drawdown, and trend persistence.
Step 3
Compare QS with TSLA and QQQ to separate theme strength from broad market beta.
FAQ
QS stock prediction FAQ
What is this QS research page for?
This page organizes QuantumScape research around AI Prediction, options IV regime context, QML equity-curve diagnostics, historical prediction records, and Monte Carlo risk workflows.
What does the QS AI prediction percentage mean?
The percentage is the model's estimated next-session up probability for QS. Readings at 55% or higher are labeled Bullish, 45% or lower are labeled Bearish, and the middle range is Neutral.
How is QS 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 QS?
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 QS 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 QS with nearby tickers
TSLA
Tesla
Track TSLA when you need a liquid momentum signal with both company-specific and market-wide drivers.
QQQ
Invesco QQQ Trust
Track QQQ when you want to know whether individual technology signals align with broad growth-market momentum.
IONQ
IonQ
Track IONQ when you want to compare momentum, drawdown pressure, and model probability for a high-beta quantum computing name.