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Market 86.0% against model 76.5%. Resolves in 140d 5h, data updated 20m 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 NO
76.5% model / 86.0% 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 76.5% vs market 86.0%.
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.
usable feature coverage.
Volume $7,194,765
The model estimates a 9-point lower 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 | 73% | — | +1.010 | Bullish | 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. |
No comparable events matched for this market.
This market will resolve according to the exact amount of cuts of 25 basis points in 2026 by the Fed (including any cuts made during the December meeting). Emergency rate cuts outside of scheduled FOMC meetings will also count toward the total number of cuts in 2026. This market will remain open until December 31, 2026, 11:59 PM ET, to account for any such emergency actions. For example, if the Fed cuts rates by 50 bps after a meeting, it would be considered 2 cuts (of 25 bps each). This market will resolve early to "No" if the specified number of cuts becomes impossible — i.e., if more cuts have already occurred than the strike in question. Note that cuts between 1–24 bps (inclusive) will also be considered 1 rate cut. The resolution source for this market will be FOMC statements after meetings scheduled in 2026 according to the official calendar: https://www.federalreserve.gov/monetarypolicy/fomccalendars.htm. The level and change of the target federal funds rate is also published at the official website of the Federal Reserve at https://www.federalreserve.gov/monetarypolicy/openmarket.htm.
analyzed by heuristicThis market will resolve according to the exact amount of cuts of 25 basis points in 2026 by the Fed (including any cuts made during the December meeting). Emergency rate cuts outside of scheduled FOMC meetings will also count toward the total number of cuts in 2026. This market will remain open until December 31, 2026, 11:59 PM ET, to account for any such emergency actions. For example, if the Fed cuts rates by 50 bps after a meeting, it would be considered 2 cuts (of 25 bps each). This market will resolve early to "No" if the specified number of cuts becomes impossible — i.e., if more cuts have already occurred than the strike in question. Note that cuts between 1–24 bps (inclusive) will also be considered 1 rate cut. The resolution source for this market will be FOMC statements after meetings scheduled in 2026 according to the official calendar: https://www.federalreserve.gov/monetarypolicy/fomccalendars.htm. The level and change of the target federal funds rate is also published at the official website of the Federal Reserve at https://www.federalreserve.gov/monetarypolicy/openmarket.htm.
- Oracle dependency Resolution depends on a single named source continuing to publish the metric.
Resolves Thu, 31 Dec 2026 00:00:00 GMT. The contract pays on these exact criteria, not on the thesis.
Paper position only. No real-money execution
| 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 | +0.04 | 0.35 | +0.013 | Neutral | 7-day drift of the market's own implied probability — sustained 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 | +0.41 | 0.15 | +0.062 | Bullish | 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 | 74.8% | Prior: 73% · Market: 86.0% | |||
| 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: 76.5% = λ·model + (1−λ)·market | |||
Since the first stored model read on 2026-08-01, the market has moved from 88.8% to 86.0%.
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 | 16 | |
| Price volatility | 4 | |
| Resolution proximity | 0 | |
| Data quality | 14 | |
| Category base risk | 25 | |
| Resolution ambiguity | 18 | |
| Regulatory exposure | 0 | |
| Portfolio concentration | 0 |
Composite score 14/100, higher = riskier.
| Market | Mkt | Delta |
|---|---|---|
| Category context | ||
| Fed holds rates at June 2026 FOMC meeting? category context: same category + wording overlap | 74.0% | -52pt |
| Will the price of Bitcoin be above $68,000 on July 31? category context: wording overlap | 0.1% | -- |
| Will the price of Bitcoin be above $74,000 on July 31? category context: wording overlap | 0.1% | -- |
| Will the price of Bitcoin be above $66,000 on July 31? category context: wording overlap | 0.1% | -- |
| Will the price of Bitcoin be above $64,000 on July 31? category context: wording overlap | 0.1% | -- |
Divergences > 5pt flagged in amber. For cross-venue pricing, see the Scanner.