Trump out as President before GTA VI?
Market 50.5% against model 50.3%. Resolves in 34d 16h, data updated 7d ago.
Why this is not actionable
The model can still be informative here, but one or more gates blocks a trade call.
Decision layer
No-trade decision
The model may still be informative, but at least one gate blocks an action-style signal.
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
One decision layer for the market read.
This public box mirrors the internal diagnostic style without exposing execution controls: decision, probability gap, cost-adjusted edge, blocker, and next thing to monitor.
no side selected
50.3% model / 50.5% market
fees, spread, slippage, risk
No edge after fees and slippage — the market price is fair within costs.
No edge after fees and slippage — the market price is fair within costs.
Read this market in three passes
Model 50.3% vs market 50.5%.
Raw disagreement is reduced by fees, spread, slippage, and risk controls.
No trade
Why this read matters
The model may disagree with price, but the gates say the disagreement is not actionable right now.
Trump out as President before GTA VI?
Volume $670,366
Why the engine declines to trade this market
- - No edge after fees and slippage — the market price is fair within costs.
Declining to trade is a feature: most markets are priced fairly within costs, and the risk gates run before any edge is considered.
Market-implied vs model probability
Factor attribution
| 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 | 50% | — | +0.012 | Neutral | Historical frequency for this kind of event — the prior before any market-specific evidence. |
| Cross-market divergence | 0.00 | 0.20 | 0.000 | Neutral | Linked venue pricing the same event higher/lower (V2 scanner); 0 without an approved link. |
| 7-day price momentum | 0.00 | 0.35 | 0.000 | 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 | —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 signalsim | 0.00 | 0.25 | 0.000 | Neutral | Reliability-weighted mean of extracted news direction labels, past 14 days. |
| 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 | 50.3% | Prior: 50% · Market: 50.5% | |||
| 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%. | 0.83 | Final: 50.3% = λ·model + (1−λ)·market | |||
Comparable eventsseeded prior 50% - 0 matches (min 8 for historical)
| Event | Outcome | Relevance |
|---|---|---|
| Prediction-market favorites in national elections | Favorites at 60–70¢ won less often than priced in low-liquidity markets | Demo market — synthetic data; favorite-longshot bias applies. |
Scenario treeEngine template
Node probabilities are conditional on the parent; hover for cumulative path probability. Leaf EV is per $1 YES contract at the current price, before fees (fee-adjusted EVs in the table on the left).
| Path | Path prob. | YES pays | EV (YES, after costs) |
|---|---|---|---|
| Threshold hit in first half of window | 22.7% | $1 | +46.3c |
| Threshold hit in second half | 27.7% | $1 | +46.3c |
| Never reaches threshold in window | 49.7% | $0 | -53.7c |
Root-implied probability 50.3% reconciles with the model's 50.3% (±1pt invariant).
Why this mattersTemplate (no LLM key)
A 0.2% probability gap at a 50.5% price translates to -3.0% expected value per dollar of payout exposure after costs on the NO side. EV — not the raw probability gap — is the comparable number: the same gap is worth very different amounts at 50¢ and at 92¢.
What could make this wrongTemplate (no LLM key)
The model's edge depends on its inputs being right. Concretely: the base rate of 50.3% may not apply if this event differs structurally from its reference class; the pm.cross_market_divergence factor could be noise rather than information at this horizon; and with confidence at 0.83, the model itself concedes meaningful estimation error. The risk engine also flags: No edge after fees and slippage — the market price is fair within costs.
- - Risk score 19/100 — composite of liquidity, volatility, time-to-resolution, data quality and category risk.
- - Factor agreement 1.00: factors broadly agree, but shared blind spots are possible.
- - Data quality 0.71 (simulated input in MVP).
- - Simulated model values — this brief demonstrates structure, not live research.
Description
This market will resolve to "Yes" if Donald Trump ceases to be the President of the U.S. for any period of time before Grand Theft Auto VI is officially released in the US. Otherwise, this market will resolve to "No". If neither occurs by July 31, 2026, 11:59 PM ET, this market will resolve to 50-50. For the purposes of this market, "release" refers to the game becoming publicly available for purchase or download in the US. Early access, beta versions, other forms of pre-release availability, or leaks will not count as an official release. If the release is only for certain consoles (e.g. Xbox Series X/S) it will count. The resolution source for the release of GTA VI is official information from Rockstar Games or its parent company, Take-Two Interactive. An announcement of Trump's resignation/removal, or a scheduled departure from office due to the outcome of an election will not alone qualify. Only permanent removal from office will qualify for resolution. Temporary removals, such as temporary invocation of the 25th Amendment, will not count. The resolution source for Trump leaving the presidency will be a consensus of credible reporting.
Resolution criteria (verbatim, with analyzer flags)
analyzed by heuristicThis market will resolve to "Yes" if Donald Trump ceases to be the President of the U.S. for any period of time before Grand Theft Auto VI is officially released in the US. Otherwise, this market will resolve to "No". If neither occurs by July 31, 2026, 11:59 PM ET, this market will resolve to 50-50. For the purposes of this market, "release" refers to the game becoming publicly available for purchase or download in the US. Early access, beta versions, other forms of pre-release availability, or leaks will not count as an official release. If the release is only for certain consoles (e.g. Xbox Series X/S) it will count. The resolution source for the release of GTA VI is official information from Rockstar Games or its parent company, Take-Two Interactive. An announcement of Trump's resignation/removal, or a scheduled departure from office due to the outcome of an election will not alone qualify. Only permanent removal from office will qualify for resolution. Temporary removals, such as temporary invocation of the 25th Amendment, will not count. The resolution source for Trump leaving the presidency will be a consensus of credible reporting.
Resolves Fri, 31 Jul 2026 12:00:00 GMT. The contract pays on these exact criteria, not on the thesis.
Suggested paper position
The engine sizes NO TRADE markets to zero. Sizing never overrides the risk gates.
Paper position only. No real-money execution
Live open-market tracking
Since the first stored model read on 2026-06-15, the market has moved from 50.5% to 50.5%.
This is a directional diagnostic for unresolved markets, not final performance. Resolved outcomes still determine the official live record.
Data quality72/100 - usable
Missing: 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.
Risk factor breakdownsim
| Inverse liquidity | 28 | |
| Price volatility | 0 | |
| Resolution proximity | 0 | |
| Data quality | 28 | |
| Category base risk | 55 | |
| Resolution ambiguity | 8 | |
| Regulatory exposure | 0 | |
| Portfolio concentration | 0 |
Composite score 19/100, higher = riskier.