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Market 12.5% against model 25.1%. Resolves in 82d 5h, 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
25.1% model / 12.5% market
fees, spread, slippage, risk
Model edge survives the current public research gates.
Watch whether the market price moves toward or away from the model.
Model 25.1% vs market 12.5%.
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 $4,118,214
The model estimates a 13-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 | 28% | — | −0.969 | Bearish | 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. | 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. |
No comparable events matched for this market.
This market will resolve according to the party that wins control of the United States House of Representatives in the 2026 United States midterm election. A party wins control of the United States House of Representatives if it wins a majority of the chamber’s voting seats. If no party wins a majority of voting seats, the chamber will be deemed controlled by the party with which the first elected Speaker of the House of the Congress that convenes after the 2026 midterm election is affiliated. The following rules govern the counting of seats for determining which party wins control of the chamber. All House elections in the 2026 United States midterm election that elect voting members and determine representation in the upcoming 120th Congress are included. Where a seat is decided by a runoff, the runoff result will determine attribution of that seat. Seats are attributed to the party under which the member was elected. If a member-elect changes party affiliation, or vacates their seat, between election day and the formal organization of Congress, the seat is attributed to the party under which the member was elected. House members elected as independents who formally caucus with, or, for newly elected members, who announce their intent to caucus with, a party are included in that party’s count. If the caucus decisions of members of the House elected as independents cannot be determined on the date of the election, this market may remain open until the earlier of (i) an announcement from the relevant members of their intents to caucus, or (ii) January 4th, 11:59 PM ET of the following calendar year. If no such announcement is made by January 4th, 11:59 PM ET of the following calendar year, the member will not count towards the seat count of any party. The resolution sources for this market will be official information from relevant state electoral authorities, the United States Congress, and a consensus of credible reporting.
ambiguity 38/100analyzed by heuristicThis market will resolve according to the party that wins control of the United States House of Representatives in the 2026 United States midterm election. A party wins control of the United States House of Representatives if it wins a majority of the chamber’s voting seats. If no party wins a majority of voting seats, the chamber will be deemed controlled by the party with which the first elected Speaker of the House of the Congress that convenes after the 2026 midterm election is affiliated. The following rules govern the counting of seats for determining which party wins control of the chamber. All House elections in the 2026 United States midterm election that elect voting members and determine representation in the upcoming 120th Congress are included. Where a seat is decided by a runoff, the runoff result will determine attribution of that seat. Seats are attributed to the party under which the member was elected. If a member-elect changes party affiliation, or vacates their seat, between election day and the formal organization of Congress, the seat is attributed to the party under which the member was elected. House members elected as independents who formally caucus with, or, for newly elected members, who announce their intent to caucus with, a party are included in that party’s count. If the caucus decisions of members of the House elected as independents cannot be determined on the date of the election, this market may remain open until the earlier of (i) an announcement from the relevant members of their intents to caucus, or (ii) January 4th, 11:59 PM ET of the following calendar year. If no such announcement is made by January 4th, 11:59 PM ET of the following calendar year, the member will not count towards the seat count of any party. The resolution sources for this market will be official information from relevant state electoral authorities, the United States Congress, and a consensus of credible reporting.
- Subjective judgment Resolution depends on someone's judgment call rather than an observable fact.
Paper position only. No real-money execution
| 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 | 27.5% | Prior: 28% · Market: 12.5% | |||
| 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%. | 0.84 | Final: 25.1% = λ·model + (1−λ)·market | |||
Resolves Tue, 03 Nov 2026 00:00:00 GMT. The contract pays on these exact criteria, not on the thesis.
Since the first stored model read on 2026-08-09, the market has moved from 12.5% to 12.5%.
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 | 9 | |
| Price volatility | 0 | |
| Resolution proximity | 0 | |
| Data quality | 52 | |
| Category base risk | 55 | |
| Resolution ambiguity | 38 | |
| Regulatory exposure | 0 | |
| Portfolio concentration | 0 |
Composite score 20/100, higher = riskier.
| Market | Mkt | Delta |
|---|---|---|
| Category context | ||
| Will BN win the 2026 Negeri Sembilan general elections? category context: same category + wording overlap | 99.9% | -- |
| Will Abdul El-Sayed win the 2026 Michigan Democratic Primary? category context: same category + wording overlap | 98.6% | -18pt |
| Will John James win the 2026 Michigan Governor Republican primary election? category context: same category + wording overlap | 95.0% | -15pt |
| Will Abdul El-Sayed win Macomb County in the Michigan Senate Democratic primary? category context: same category + wording overlap | 82.5% | -- |
| Will Abdul El-Sayed win Wayne County in the Michigan Senate Democratic primary? category context: same category + wording overlap | 80.5% | -10pt |
Divergences > 5pt flagged in amber. For cross-venue pricing, see the Scanner.