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UPST AI stock prediction, Monte Carlo, and QML research

Upstart is a high-beta fintech and AI credit underwriting stock sensitive to lending demand, rates, and risk appetite.

Ticker

UPST

Exchange / Market

NASDAQ

Sector

AI lending technology

Theme

AI credit underwriting, consumer lending, and high-beta fintech

UPST quantitative research dashboard preview

Today's Public Snapshot

UPST 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 82.9

How to read the UPST AI percentage

The percentage is the estimated probability that UPST 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

UPST historical prediction win rate

Win rate is calculated only from records where the next trading-day close has been verified.

Win rate

100.0%

insufficient_data

Monthly

100.0%

2026-07 3/3

Verified

3

Minimum 10

Correct

3

Next-session direction

High conf.

100.0%

1 verified records

Updated

2026-07-31

candidate model

UPST historical prediction records

DateSignalProbabilityBucketLast closeActual next closeChangeResult
2026-07-31Bearish48%no edge$27.44--Pending
2026-07-21Bearish37%high confidence$29.27$28.64-2.15%Correct
2026-07-17Bearish45%medium confidence$29.51$28.82-2.34%Correct
2026-07-16Bearish45%medium confidence$30.88$29.51-4.44%Correct

Why Track It

Upstart research context

Track UPST when you want a volatile AI fintech signal with macro and credit-cycle sensitivity.

Research only. Not investment advice. Signals, simulations, and model outputs can be wrong and should be checked against your own risk process.

Research Angles

  • UPST can move sharply with rate expectations and lending commentary.
  • AI narrative strength may not offset credit-cycle risk.
  • Monte Carlo and historical win rate checks are useful before sizing.

Workflow

How to research UPST

Start with the module that matches the question, then compare the signal against risk and benchmark context.

  1. Step 1

    Compare UPST with AI, SOUN, and QQQ for high-beta sentiment.

  2. Step 2

    Run AI Prediction for current directional probability.

  3. Step 3

    Use historical records to check verified model performance.

FAQ

UPST stock prediction FAQ

What is this UPST research page for?

This page organizes Upstart research around AI Prediction, options IV regime context, QML equity-curve diagnostics, historical prediction records, and Monte Carlo risk workflows.

What does the UPST AI prediction percentage mean?

The percentage is the model's estimated next-session up probability for UPST. Readings at 55% or higher are labeled Bullish, 45% or lower are labeled Bearish, and the middle range is Neutral.

How is UPST 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 UPST?

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 UPST 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.

For research and educational purposes only. Not financial advice.

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