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Market 57.8% against model 37.8%. Resolves in 91d 14h, data updated 2d 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.
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 NO
37.8% model / 57.8% 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 37.8% vs market 57.8%.
Raw disagreement is reduced by fees, spread, slippage, and risk controls.
Model leans NO
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.
Volume $1,343,899
The model estimates a 20-point lower 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 | 33% | — | −0.714 | 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 to the company that achieves the highest market capitalization in U.S. dollars based on the official closing price on its first trading day in 2026. This market will resolve to a company that completes an Initial Public Offering (IPO) between January 1 and December 31, 2026, 11:59 PM ET. Market capitalization is defined as the total number of outstanding shares multiplied by the closing share price on the first trading day. If two or more companies have exactly equal highest closing market capitalizations, this market will resolve to the company whose listed name comes first alphabetically. Resolution will be based on the primary exchange’s official listing page. In the event that the relevant figure is not displayed, another reliable source will be used. In case the respective company's primary exchange’s official listing page does not report in U.S. dollars, it will be converted to U.S. dollars using the U.S. Federal Reserve Board’s H.10 foreign exchange reference rate for the relevant currency pair on the company’s first trading day (https://www.federalreserve.gov/releases/h10/). If no such rate is available for the relevant trading day, the most recent previously published rate will be used. If the relevant currency is not listed, another credible exchange rate source will be used. A listed company may resolve to "No" as soon as it becomes unable to complete an IPO, including due to acquisition, merger, or absorption by an entity that is already publicly traded. In the event of an interruption in the course of the normal trading session on the respective companies’ first day of trading (e.g., a circuit breaker or half-day), the market will resolve according to the official closing price of the abbreviated session. If no such official closing price is published, the market will resolve according to the next trading day on which an official closing price is published, treating that as the first day of trading for purposes of this ma
analyzed by heuristicThis market will resolve to the company that achieves the highest market capitalization in U.S. dollars based on the official closing price on its first trading day in 2026. This market will resolve to a company that completes an Initial Public Offering (IPO) between January 1 and December 31, 2026, 11:59 PM ET. Market capitalization is defined as the total number of outstanding shares multiplied by the closing share price on the first trading day. If two or more companies have exactly equal highest closing market capitalizations, this market will resolve to the company whose listed name comes first alphabetically. Resolution will be based on the primary exchange’s official listing page. In the event that the relevant figure is not displayed, another reliable source will be used. In case the respective company's primary exchange’s official listing page does not report in U.S. dollars, it will be converted to U.S. dollars using the U.S. Federal Reserve Board’s H.10 foreign exchange reference rate for the relevant currency pair on the company’s first trading day (https://www.federalreserve.gov/releases/h10/). If no such rate is available for the relevant trading day, the most recent previously published rate will be used. If the relevant currency is not listed, another credible exchange rate source will be used. A listed company may resolve to "No" as soon as it becomes unable to complete an IPO, including due to acquisition, merger, or absorption by an entity that is already publicly traded. In the event of an interruption in the course of the normal trading session on the respective companies’ first day of trading (e.g., a circuit breaker or half-day), the market will resolve according to the official closing price of the abbreviated session. If no such official closing price is published, the market will resolve according to the next trading day on which an official closing price is published, treating that as the first day of trading for purposes of this market.
- Oracle dependency Resolution depends on a single named source continuing to publish the metric.
Resolves Sat, 02 Jan 2027 04:59:00 GMT. The contract pays on these exact criteria, not on the thesis.
Paper position only. No real-money execution
| 0.00 |
| 0.20 |
| 0.000 |
| Neutral |
| Linked venue pricing the same event higher/lower (V2 scanner); masked without an approved SAME_EVENT or INVERSE link. |
| Recent price momentum | +0.03 | 0.35 | +0.009 | 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 | 33.1% | Prior: 33% · Market: 58.9% | |||
| 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: 37.8% = λ·model + (1−λ)·market | |||
Since the first stored model read on 2026-08-13, the market has moved from 21.4% to 57.8%.
This is a directional diagnostic for unresolved markets, not final performance. Resolved outcomes still determine the official live record.
Missing: 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 | 22 | |
| Price volatility | 17 | |
| Resolution proximity | 0 | |
| Data quality | 10 | |
| Category base risk | 40 | |
| Resolution ambiguity | 18 | |
| Regulatory exposure | 0 | |
| Portfolio concentration | 0 |
Composite score 21/100, higher = riskier.
| Market | Mkt | Delta |
|---|---|---|
| Category context | ||
| Will the price of Bitcoin be above $90,000 on October 2? category context: wording overlap | 0.1% | +18pt |
| Will the price of Bitcoin be above $92,000 on October 2? category context: wording overlap | 0.1% | -- |
| Will the price of Ethereum be above $2,900 on October 2? category context: wording overlap | 0.1% | -- |
| Will Fernando Haddad finish in second place in the first round of the 2026 Brazilian presidential election? category context: wording overlap | 0.1% | -- |
| Will the price of Bitcoin be above $94,000 on October 2? category context: wording overlap | 0.2% | -- |
Divergences > 5pt flagged in amber. For cross-venue pricing, see the Scanner.