ASKA DIGITALIn this article
- What the markets are pricing
- Scope and data coverage
- What drives forecast extremity?
- The Fed probability picture
- Elevated volatility: severe escalation remains a tail risk
- Direction appears clearer than timing
- Exceptional heat is the highest-confidence broad signal
- Milestones likely; US-China AI cooperation unlikely
- A framework for decision-making
- How to use these probabilities responsibly
- What this report cannot do
The strongest cross-platform signal concerns US monetary policy. Polymarket and Kalshi both price the September 2026 Federal Reserve decision close to a coin toss, with a modest lean toward a 25-basis-point hike and a volume-weighted probability around 55%. Both platforms agree on something more decisive: zero rate cuts during 2026 are priced at 91% on Kalshi. Restrictive conditions are not the base case. They are the working assumption.
Outside monetary policy, the most confident directional signals are exceptional global heat, additional China-focused tariffs during 2026, and a near-term SpaceX Starship milestone. Geopolitical markets indicate material but non-base-case escalation risk: a US invasion of Iran before 2027 is priced around 16%, while Israeli leadership changes by year-end sit close to evenly balanced at 48%.
The market consensus is not a single prediction. It is a risk distribution. The practical base case is persistent restrictive rates, continued trade-policy pressure, exceptional climate conditions, and elevated geopolitical volatility, without assuming the most severe military outcome.
What the markets are pricing
Scope and data coverage
The original ambition was to access every online prediction market. That standard cannot literally be met from public web access. Many venues require authentication, subscriptions, geographic eligibility, or non-indexed API calls. Predacle alone reports more than 16,000 active markets across Polymarket, Kalshi, Myriad, Manifold, Limitless, and Azuro, refreshed every 30 minutes.
This report is built on a deliberately exploratory sample: 23 publicly observable forecasts selected from pages accessible at the time of analysis. It is not a random census of all active contracts and should not be used to estimate universal prediction-market accuracy.
Coverage warning. The statistical sample is exploratory. It contains 23 publicly observable forecasts from Polymarket, Kalshi, and Metaculus. Selection bias is present: these are visible markets, not a representative slice of the full prediction-market universe.
| Mechanism | Strength | Main limitation |
|---|---|---|
| Real-money exchanges Polymarket, Kalshi |
Prices incorporate capital at risk | Liquidity, fees, and position constraints can distort prices |
| Forecasting communities Metaculus |
Scoring incentives reward calibration | No directly comparable dollar volume |
| Web aggregators Predacle, PredScope |
Broader cross-venue discovery | Matching and refresh timing may differ by platform |
What drives forecast extremity?
Because active markets have not resolved, current correctness cannot yet be observed. The regression therefore models forecast extremity (how one-sided a probability is) rather than accuracy. Extremity is defined as |p − 0.50|, where p is the current probability. A value of zero represents maximum uncertainty; a value approaching 0.50 represents a highly one-sided forecast.
The weighted least-squares specification includes log market volume, log days to resolution, and platform indicators. Real-money observations are weighted by the square root of volume, with capped weights to prevent a few large contracts from dominating. HC3 robust standard errors are used.
| Variable | Coefficient | p-value | Reading |
|---|---|---|---|
| Log market volume | −0.096 | 0.118 | Directionally less extreme at higher volume; not significant |
| Log days to resolution | +0.096 | 0.012 | Significant: longer horizons associated with more extreme probabilities |
| Polymarket vs. Kalshi | +0.042 | 0.443 | No reliable platform difference |
| Metaculus vs. Kalshi | −0.497 | 0.205 | Large but imprecise estimate |
| R² = 0.507 | n = 23 | Explains ~half of in-sample variation | |
Dependent variable: |p − 0.50|. Estimator: weighted least squares. Robust covariance: HC3.
Key finding. Long-horizon markets in this sample express greater confidence. This does not establish greater accuracy. The pattern can arise because remote contracts often list many individually unlikely outcomes, because tail risk is underpriced, or because capital is tied up for longer periods without fresh news to reprice it.
Diagnostic caution. The overall model is statistically informative within the sample, but residual diagnostics indicate non-normality and possible numerical instability. Multiple contracts may also react to the same news simultaneously, violating independence assumptions. Reported p-values must be treated as descriptive rather than definitive.
The Fed probability picture
Polymarket priced a 25-basis-point September hike at approximately 56%, and Kalshi priced the same broad outcome near 53%. Using reported volumes of about $70.6M and $38.0M yields a volume-weighted probability of approximately 55%.
Volume-weighted estimate: (0.56 × $70.6M + 0.53 × $38.0M) / ($70.6M + $38.0M) ≈ 54.95%
The more decisive signal is the year-end path. Kalshi priced exactly zero cuts in 2026 at 91%, and any cut before 2027 at roughly 10%. Together, these markets imply that organizations should not base near-term budgeting, borrowing, or valuation assumptions on rapid easing.
Planning implication. Use persistent funding costs as the central scenario. Maintain a sensitivity case for a September hike, but do not treat the hike as certain, because the combined probability is only about 55%, and the path above 50% is narrow.
Elevated volatility: severe escalation remains a tail risk
A Polymarket contract placed the probability of a US invasion of Iran before 2027 near 16%, while a separate contract priced Kharg Island no longer under Iranian control by year-end near 8%. These are material tail risks, but neither is the market's base case.
A market on Israeli leadership was much more balanced, pricing Netanyahu out by end of 2026 around 48%. Another indexed market showed roughly 67% for an Israeli airspace closure by a near-term deadline, though the record did not expose enough resolution detail to quantify likely duration or breadth.
Planning implication. Prioritize contingency readiness for transport disruption, energy-price volatility, and rapid repricing. Avoid translating a material tail probability into a deterministic prediction of war. A 16% chance of invasion is not a 16% chance of impact if sanctions or other pressure mechanisms resolve differently. The contract wording matters.
Direction appears clearer than timing
Metaculus displayed a 90% estimate that a Section 301 overcapacity determination would result in China-targeting tariffs during 2026, but only a 10% probability that the USTR would publish a final determination before September 24. The combination suggests expected policy pressure with procedural delay.
Low participation on some displayed questions materially reduces confidence in those specific numbers. Treat the directional signal (more tariffs coming) as more reliable than the specific timing estimate.
High directional probability + low near-term timing probability = expected pressure with procedural drag.
Planning implication. Map tariff exposure and supplier alternatives now. Avoid anchoring procurement decisions to a single near-term announcement date. The direction is clear; the calendar is not.
Exceptional heat is the highest-confidence broad signal
A Polymarket market assigned approximately 76% to 2026 being the hottest year on record, and 21% to being second. Assuming those outcomes are mutually exclusive and normalized, the combined implication is about a 97% chance that 2026 finishes first or second. This is the highest-confidence signal in the dataset.
Planning implication. Stress-test operations for heat-related energy demand, infrastructure strain, workplace disruption, and weather-sensitive supply chains. This signal has the highest confidence in the dataset. Treat it as a planning input, not background noise.
Milestones likely; US-China AI cooperation unlikely
Polymarket priced a specified SpaceX Starship flight-test milestone by October 31 at approximately 97%. This is a strong short-term signal, but technical, regulatory, and weather delays can rapidly reprice launch markets. A 3% no-milestone probability is not negligible for scheduling purposes.
Metaculus placed only a 10% probability on a 2026 US-China AI agreement that includes export-control concessions. The broader cross-market theme is continuing strategic competition rather than near-term policy breakthrough.
A framework for decision-making
Market probabilities are scenario weights, not instructions to trade or bet. The three scenarios below represent distinct but plausible futures, not the full distribution of outcomes.
Restrictive persistence
The Federal Reserve holds or hikes modestly in September. No 2026 rate cuts. Trade restrictions on China materialize with procedural delay. Exceptional heat throughout the year. Geopolitical tension elevated but contained.
This is the working assumption. Organizations should plan around it first.
Delayed pressure, contained risks
The Federal Reserve holds without subsequent hikes. Major trade measures are delayed past September 24 or softened in implementation. Geopolitical disruptions remain contained: no invasion, no airspace closures. SpaceX milestone hits on schedule.
This is the scenario where conditions ease. Have a trigger to reprice if it materializes.
Simultaneous tightening
A September hike combines with trade restrictions and a Middle East logistics or energy shock, tightening financial and operating conditions simultaneously. A 16% invasion probability is not the base case, but its consequences are large enough to warrant contingency planning.
Low probability, high impact. A monitoring trigger beats a fixed allocation.
Monitoring triggers to watch: Fed communication, inflation data releases, USTR procedural notices, airspace restriction announcements, SpaceX launch notices, and, most importantly, material changes in cross-platform prices or volume. Track change over time, not only the current level. A 55% probability reached from 30% carries different information than one reached from 70%.
How to use these probabilities responsibly
- Separate events above 80% from events near 50%. They require fundamentally different planning responses. Near-50% events should generate sensitivity cases; high-confidence events should drive hard constraints.
- Require cross-platform confirmation before treating a probability as a strong signal. A 56% read on one platform is a lean, not a trend.
- Check liquidity, total volume, bid-ask spread, and resolution wording before relying on a price. A 90% probability on thin volume is fragile.
- Track change over time, not only the current level. A 55% probability reached from 30% implies momentum. A 55% reached from 70% implies reversal.
- Use market probabilities as scenario weights, not as instructions to trade or bet. A prediction market is a wisdom-of-crowds snapshot under a specific contract structure, not a verified forecast.
What this report cannot do
Every analytical framework has edges. Here are the ones that matter most for how you use this report.
| Constraint | Why it matters |
|---|---|
| Incomplete universe | Public access did not permit a literal census of every venue or contract. Some signals are missing. |
| Selection bias | The 23-observation sample was assembled from publicly visible markets, not randomly sampled. Results may not generalize. |
| No resolved outcomes | The regression explains confidence extremity, not forecast accuracy or calibration. High conviction does not mean high accuracy. |
| Correlated observations | Multiple contracts react to the same information simultaneously, violating independence assumptions in the regression. |
| Contract design effects | Wording, settlement rules, fees, and capital lock-up can influence price independently of trader belief. |
| Timestamp sensitivity | Prediction market prices can move immediately and significantly in response to new information. This snapshot reflects September 8, 2026. |
Responsible-use statement. This report is informational and exploratory. It is not financial, investment, legal, policy, or betting advice. A market price is an estimate produced by a particular participant pool under a particular contract structure, not a verified fact. Use it to structure scenarios and calibrate judgment, not to replace them.
Sources
- [1] Predacle, all-market aggregator · predacle.com
- [2] PredScope, public Polymarket API · predscope.com/api
- [3] Prediction Markets API, unified feed · predictionmarketapi.com
- [4] Kalshi public markets · kalshi.com
- [5] Metaculus question feed · metaculus.com
- [6] Polymarket Analytics · polymarketanalytics.com/markets
- [7] Kalshi Federal Reserve markets · kalshi.com/category/economics/fed
- [8] Metaculus, trade and AI forecasts · metaculus.com
- [9] Polymarket, climate and pop-culture markets · polymarket.com/pop-culture
- [10] Merlin, trending Polymarket markets · merlin.trade/markets
- [11] PredScope daily market insights · predscope.com/insights