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Market 8.5% against model 45.6%. Resolves in 2d 16h, data updated 1d ago.
Decision layer
The model disagreement survives the current gates. This is still research context, not financial advice.
Expected value after costs, not raw probability spread.
How much support the model sees across available inputs.
Thin markets can erase apparent edge through spread and slippage.
Resolution ambiguity, timing, and data quality pressure the decision.
Why / why not trade
This public box mirrors the internal diagnostic style without exposing execution controls: decision, probability gap, cost-adjusted edge, blocker, and next thing to monitor.
side YES
45.6% model / 8.5% market
fees, spread, slippage, risk
Model edge survives the current public research gates.
Watch resolution risk, timing, and data quality before trusting the gap.
Model 45.6% vs market 8.5%.
Raw disagreement is reduced by fees, spread, slippage, and risk controls.
Model leans YES
The model-market gap currently survives the decision gates, but it is still research context and must be judged against the public track record.
Sign in to return to this exact question, review governed evidence, and record an append-only probability without exposing private thesis text.
usable feature coverage.
Volume $205,832
The model estimates a 37-point higher probability than the market, primarily driven by historical base rate.
| FACTOR | SIGNAL | WEIGHT | LOG-ODDS ΔLog-odds contribution measures how much each factor shifted the model's probability estimate in log-odds space — the mathematically correct way to stack independent evidence. Formula: Δlog-odds = weight × signal. Positive values push the probability up; negative values push it down. Log-odds are converted back to probability via the logistic function at the end. | DIRECTION | DESCRIPTION |
|---|---|---|---|---|---|
| Historical base rate | 56% | — | +0.253 | Bullish | Historical frequency for this kind of event — the prior before any market-specific evidence. |
| Cross-market divergence | This factor was not available for this market. No approved cross-venue link exists for this market. |
| Event | Outcome | Relevance |
|---|---|---|
| Mega-cap guidance beats during capex cycles | Guidance raised in a majority of AI-cycle quarters | Corporate events resolve on official statements — watch definitional edges. |
A 37.5% probability gap at a 8.5% price translates to 34.1% expected value per dollar of payout exposure after costs on the YES side. EV — not the raw probability gap — is the comparable number: the same gap is worth very different amounts at 50¢ and at 92¢.
The model's edge depends on its inputs being right. Concretely: the base rate of 56.3% may not apply if this event differs structurally from its reference class; the pm.cross_market_divergence factor could be noise rather than information at this horizon; and with confidence at 0.78, the model itself concedes meaningful estimation error. Resolution risk remains: the contract pays on the precise criteria — "This market will resolve to "Yes" if Google's next Gemini Pro model is made available to the general public between market creation and the …" — not on the thesis.
This market will resolve to "Yes" if Google's next Gemini Pro model is made available to the general public between market creation and the specified date (ET). Otherwise, this market will resolve to “No”. Any Gemini model released after market creation and labeled as "Pro" may qualify (e.g., gemini-3.2-pro, gemini-3.5-pro, or gemini-4.0-pro-preview). Gemini models labeled only as Flash, Flash-Lite, or another non-Pro variant will not qualify. Products labeled as a GA promotion of an already-existing Preview model (e.g., gemini-3.1-pro-ga) may qualify A qualifying model must be launched and publicly accessible, including via open beta or open rolling waitlist signups. A closed beta or any form of private access will not suffice. The release must be either clearly defined and publicly announced by Google as being accessible to the general public or otherwise made publicly accessible and explicitly labeled within the company's official website. Labeling errors, placeholder text, or version names displayed on the website that do not correspond to a model that is actually accessible to the general public will not qualify. The primary resolution source for this market will be official information from Google, with additional verification from a consensus of credible reporting.
analyzed by heuristicThis market will resolve to "Yes" if Google's next Gemini Pro model is made available to the general public between market creation and the specified date (ET). Otherwise, this market will resolve to “No”. Any Gemini model released after market creation and labeled as "Pro" may qualify (e.g., gemini-3.2-pro, gemini-3.5-pro, or gemini-4.0-pro-preview). Gemini models labeled only as Flash, Flash-Lite, or another non-Pro variant will not qualify. Products labeled as a GA promotion of an already-existing Preview model (e.g., gemini-3.1-pro-ga) may qualify A qualifying model must be launched and publicly accessible, including via open beta or open rolling waitlist signups. A closed beta or any form of private access will not suffice. The release must be either clearly defined and publicly announced by Google as being accessible to the general public or otherwise made publicly accessible and explicitly labeled within the company's official website. Labeling errors, placeholder text, or version names displayed on the website that do not correspond to a model that is actually accessible to the general public will not qualify. The primary resolution source for this market will be official information from Google, with additional verification from a consensus of credible reporting.
Resolves Fri, 14 Aug 2026 16:00:00 GMT. The contract pays on these exact criteria, not on the thesis.
Paper position only. No real-money execution
| 0.20 |
| — |
| — |
| Whether the same event is priced differently on another venue. A gap may signal an opportunity or a structural difference. |
| 7-day price momentum | —This factor was not available for this market. This factor was not available for this market. | 0.35 | — | — | 7-day drift in the market's own implied probability. Sustained directional moves carry information. |
| BTC/ETH 7-day momentum | —This factor was not available for this market. This factor applies to crypto markets only. | 0.20 | — | — | 7-day Bitcoin or Ethereum return, normalized. Applied to crypto-category markets only. |
| Rate surprise | —This factor was not available for this market. This factor applies to Fed, CPI, and macro markets only. | 0.25 | — | — | 2-year Treasury yield reaction in the 48 hours after the most recent scheduled release — a proxy for how markets interpreted the data versus expectations. |
| Yield curve shift | —This factor was not available for this market. This factor applies to Fed, CPI, and macro markets only. | 0.15 | — | — | 30-day change in the 10-year minus 2-year Treasury spread. A flattening curve signals tightening expectations; steepening signals easing. |
| News signal | —This factor was not available for this market. No news signal available for this market in the past 14 days. | 0.25 | — | — | Reliability-weighted direction of relevant news from the past 14 days. Official sources (filings, agency statements) carry more weight than commentary. |
| Crowd forecast | —This factor was not available for this market. Insufficient forecasters to compute crowd signal. Requires at least 5 calibration-weighted estimates. | 0.20 | — | — | Calibration-weighted average of user probability estimates. Only applied when 5 or more weighted forecasters have submitted estimates. |
| Model probability | 56.3% | Prior: 56% · Market: 8.5% | |||
| Confidence (λ)Confidence λ (lambda) controls how much weight to give the model vs. the market. Formula: p_final = λ·p_model + (1−λ)·p_market. λ is derived from data quality, factor agreement, and liquidity. When inputs are weak, the model shrinks toward the market — not toward 50%. | 0.78 | Final: 45.6% = λ·model + (1−λ)·market | |||
Since the first stored model read on 2026-07-31, the market has moved from 60.5% to 8.5%.
This is a directional diagnostic for unresolved markets, not final performance. Resolved outcomes still determine the official live record.
Missing: Cross-market divergence, 7-day price momentum, News signal, Crowd forecast
When features are unavailable, the model increases uncertainty and weights the final estimate closer to the market price. Lower data quality does not mean the market is wrong. It means the model is being appropriately humble.
| Inverse liquidity | 40 | |
| Price volatility | 77 | |
| Resolution proximity | 81 | |
| Data quality | 13 | |
| Category base risk | 40 | |
| Resolution ambiguity | 8 | |
| Regulatory exposure | 0 | |
| Portfolio concentration | 0 |
Composite score 43/100, higher = riskier.
| Market | Mkt | Delta |
|---|---|---|
| Category context | ||
| Will NVIDIA be the largest company in the world by market cap on July 31? category context: same category + wording overlap | 100.0% | -- |
| Will Apple be the second-largest company in the world by market cap on July 31? category context: same category + wording overlap | 100.0% | -- |
| Will Apple be the third-largest company in the world by market cap on July 31? category context: same category + wording overlap | 0.1% | -- |
| Will Tesla be the largest company in the world by market cap on July 31? category context: same category + wording overlap | 0.1% | -- |
| Will Microsoft be the largest company in the world by market cap on July 31? category context: same category + wording overlap | 0.1% | -- |
Divergences > 5pt flagged in amber. For cross-venue pricing, see the Scanner.