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Market 31.7% against model 38.2%. Resolves in 9h, data updated 30d ago.
Decision layer
The market is worth monitoring, but the current edge or evidence does not justify an actionable label.
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.
usable feature coverage.
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
38.2% model / 31.7% market
fees, spread, slippage, risk
Interesting disagreement, but the full action threshold is not met.
Watch whether the market price moves toward or away from the model.
Model 38.2% vs market 31.7%.
Raw disagreement is reduced by fees, spread, slippage, and risk controls.
Watch, do not force it
The market is directionally interesting, but at least one evidence, edge, liquidity, or risk condition is not strong enough.
Sign in to return to this exact question, review governed evidence, and record an append-only probability without exposing private thesis text.
Volume $63,900
The model estimates a 7-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 | 40% | — | −0.420 | Bearish | Historical frequency for this kind of event — the prior before any market-specific evidence. |
No comparable events matched for this market.
The 2026 Quebec general election is scheduled to be held no later than October 5, 2026. This market will resolve to the individual who is formally appointed as Premier of Quebec as a result of the specified elections. To count for resolution, the individual must be formally appointed as Premier following the specified elections. Any interim or caretaker head of government will not count toward the resolution of this market. If no such Premier is appointed by June 30, 2027, 11:59 PM ET, this market will resolve to “Other”. The primary resolution source for this market will be official information from the Government of Quebec; however, a consensus of credible reporting may also be used.
analyzed by heuristicThe 2026 Quebec general election is scheduled to be held no later than October 5, 2026. This market will resolve to the individual who is formally appointed as Premier of Quebec as a result of the specified elections. To count for resolution, the individual must be formally appointed as Premier following the specified elections. Any interim or caretaker head of government will not count toward the resolution of this market. If no such Premier is appointed by June 30, 2027, 11:59 PM ET, this market will resolve to “Other”. The primary resolution source for this market will be official information from the Government of Quebec; however, a consensus of credible reporting may also be used.
Resolves Mon, 05 Oct 2026 00:00:00 GMT. The contract pays on these exact criteria, not on the thesis.
Paper position only. No real-money execution
| —This factor was not available for this market. No approved link prices the same event on another venue for this market. |
| 0.20 |
| — |
| — |
| Whether the same event is priced differently on another venue. A gap may signal an opportunity or a structural difference. |
| Recent price momentum | —This factor was not available for this market. This factor was not available for this market. | 0.35 | — | — | Drift in the market's own implied probability over its last 8 price updates, typically a few hours. Recent 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 | 39.6% | Prior: 40% · Market: 31.7% | |||
| 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%. | 0.82 | Final: 38.2% = λ·model + (1−λ)·market | |||
Since the first stored model read on 2026-09-04, the market has moved from 32.8% to 31.7%.
This is a directional diagnostic for unresolved markets, not final performance. Resolved outcomes still determine the official live record.
Missing: Cross-market divergence, Recent 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 | 19 | |
| Price volatility | 8 | |
| Resolution proximity | 97 | |
| Data quality | 56 | |
| Category base risk | 55 | |
| Resolution ambiguity | 8 | |
| Regulatory exposure | 0 | |
| Portfolio concentration | 0 |
Composite score 20/100, higher = riskier.
| Market | Mkt | Delta |
|---|---|---|
| Category context | ||
| Will Rafael Fonteles win the 2026 Piauí gubernatorial election? category context: similar expiry window + same category | 99.1% | -16pt |
| Will Lula win the most votes in the next Brazil presidential election from Paraíba? category context: similar expiry window + same category | 94.1% | -13pt |
| Will Cleitinho Azevedo win the 2026 Minas Gerais gubernatorial election? category context: similar expiry window + same category | 66.5% | -6pt |
| Will Eduardo Bolsonaro win the 2026 Brazilian presidential election? category context: similar expiry window + same category | 0.1% | -- |
| Will Eduardo Leite win the 2026 Brazilian presidential election? category context: similar expiry window + same category | 0.1% | -- |
Divergences > 5pt flagged in amber. For cross-venue pricing, see the Scanner.