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Market 35.5% against model 42.1%. Resolves in 31d 9h, data updated 19h 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
42.1% model / 35.5% 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 42.1% vs market 35.5%.
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 $968,671
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 | 43% | — | −0.266 | Bearish | Historical frequency for this kind of event — the prior before any market-specific evidence. |
No comparable events matched for this market.
This market will resolve according to the winner of the 2026 midterm Texas U.S. Senate election, inclusive of any run-offs. A candidate shall be considered to represent a party in the event that he or she is the nominee of the party in question. Candidates other than the Democratic or Republican nominee (e.g., Greens, Libertarian, independent) may be added at a later date. Candidates who run as independents will not be encompassed by the “Democrat” or “Republican” options regardless of any affiliation they may have with the party. The candidates may be named in the contract for the convenience of traders. In the event that any named candidate is replaced as the nominee of their respective party prior to election day, the name in the contract will be updated and the market will resolve based on the replacement nominee of the party. The resolution source for this market is the Associated Press, Fox News, and NBC. This market will resolve once all three sources call the race for the same candidate. If all three sources haven’t called the race in this state for the same candidate, this market will resolve based on the official certification.
analyzed by heuristicThis market will resolve according to the winner of the 2026 midterm Texas U.S. Senate election, inclusive of any run-offs. A candidate shall be considered to represent a party in the event that he or she is the nominee of the party in question. Candidates other than the Democratic or Republican nominee (e.g., Greens, Libertarian, independent) may be added at a later date. Candidates who run as independents will not be encompassed by the “Democrat” or “Republican” options regardless of any affiliation they may have with the party. The candidates may be named in the contract for the convenience of traders. In the event that any named candidate is replaced as the nominee of their respective party prior to election day, the name in the contract will be updated and the market will resolve based on the replacement nominee of the party. The resolution source for this market is the Associated Press, Fox News, and NBC. This market will resolve once all three sources call the race for the same candidate. If all three sources haven’t called the race in this state for the same candidate, this market will resolve based on the official certification.
- Oracle dependency Resolution depends on a single named source continuing to publish the metric.
Resolves Wed, 04 Nov 2026 04:59:00 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 | −0.03 | 0.35 | −0.012 | Neutral | Drift of the market's own implied probability over its last 8 price updates (typically hours; the key's "7d" is historical) — recent 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 | 43.1% | Prior: 43% · Market: 35.5% | |||
| 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%. | 0.87 | Final: 42.1% = λ·model + (1−λ)·market | |||
Since the first stored model read on 2026-10-01, the market has moved from 39.0% to 35.5%.
This is a directional diagnostic for unresolved markets, not final performance. Resolved outcomes still determine the official live record.
Missing: Cross-market divergence, 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 | 8 | |
| Price volatility | 11 | |
| Resolution proximity | 0 | |
| Data quality | 45 | |
| Category base risk | 55 | |
| Resolution ambiguity | 18 | |
| Regulatory exposure | 0 | |
| Portfolio concentration | 0 |
Composite score 18/100, higher = riskier.
| Market | Mkt | Delta |
|---|---|---|
| Category context | ||
| Will Apvienotais Saraksts (AS) win the most seats in the 2026 Latvian parliamentary election? category context: same category + wording overlap | 99.6% | -17pt |
| Will Rafael Fonteles win the 2026 Piauí gubernatorial election? category context: same category + wording overlap | 99.1% | -16pt |
| Will Lula win the most votes in the next Brazil presidential election from Paraíba? category context: same category + wording overlap | 94.1% | -13pt |
| Will Daniel Vilela win the Governor of Goiás election? category context: same category + wording overlap | 93.5% | -14pt |
| Will Paul St-Pierre Plamondon be the next Premier of Quebec following the 2026 Quebec general election? category context: same category + wording overlap | 93.5% | -14pt |
Divergences > 5pt flagged in amber. For cross-venue pricing, see the Scanner.