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Market 1.4% against model 16.0%. Resolves in 35d 20h, data updated 17d 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 YES
16.0% model / 1.4% 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 16.0% vs market 1.4%.
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.
Volume $167,502
The model estimates a 15-point higher probability than the market, primarily driven by historical base rate and yield curve shift.
| 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 | 21% | — | −1.333 | 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 “Yes” if the upper bound of the target federal funds rate is decreased at any point between December 16, 2025 and the completion of the Federal Open Market Committee (FOMC) meeting for October 2026, currently scheduled for October 27-28. Otherwise, this market will resolve to “No”. If no October meeting takes place by November 7, 2026, 11:59 PM ET, and no qualifying rate cut has been announced, this market will resolve to "No". Emergency rate cuts will qualify. The primary resolution source for this market will be the official website of the Federal Reserve (https://www.federalreserve.gov/monetarypolicy/openmarket.htm), however a consensus of credible reporting may also be used.
analyzed by heuristicThis market will resolve to “Yes” if the upper bound of the target federal funds rate is decreased at any point between December 16, 2025 and the completion of the Federal Open Market Committee (FOMC) meeting for October 2026, currently scheduled for October 27-28. Otherwise, this market will resolve to “No”. If no October meeting takes place by November 7, 2026, 11:59 PM ET, and no qualifying rate cut has been announced, this market will resolve to "No". Emergency rate cuts will qualify. The primary resolution source for this market will be the official website of the Federal Reserve (https://www.federalreserve.gov/monetarypolicy/openmarket.htm), however a consensus of credible reporting may also be used.
Resolves Sun, 08 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 | —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 | 0.00 | 0.25 | 0.000 | Neutral | 2y-yield reaction in the 48h after the latest scheduled release — the observable proxy for surprise vs consensus. |
| Yield curve shift | −0.66 | 0.15 | −0.100 | Bearish | 30-day change in the 10y−2y slope. |
| 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 | 19.3% | Prior: 21% · Market: 1.4% | |||
| 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: 16.0% = λ·model + (1−λ)·market | |||
Since the first stored model read on 2026-09-17, the market has moved from 1.5% to 1.4%.
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 | 1 | |
| Resolution proximity | 0 | |
| Data quality | 51 | |
| Category base risk | 25 | |
| Resolution ambiguity | 8 | |
| Regulatory exposure | 0 | |
| Portfolio concentration | 0 |
Composite score 13/100, higher = riskier.
| Market | Mkt | Delta |
|---|---|---|
| Category context | ||
| Fed holds rates at June 2026 FOMC meeting? category context: same category + wording overlap | 74.0% | -52pt |
| [DEMO] Fed cuts rates at September 2026 meeting? (Venue A) category context: same category + wording overlap | 58.0% | -31pt |
| [DEMO] Fed cuts rates at September 2026 meeting? (Venue B) category context: same category + wording overlap | 51.0% | -22pt |
| Will the price of Bitcoin be above $74,000 on October 3? category context: wording overlap | 99.9% | -- |
| Will the price of Bitcoin be above $78,000 on October 3? category context: wording overlap | 99.9% | -- |
Divergences > 5pt flagged in amber. For cross-venue pricing, see the Scanner.