Will WTI oil on Oct 14, 2026 close above $93.99?
6 seats worked this question alone; the panel agreed within a few points, so no debate was run. Code ran every test and computed the number. How the desk works
Judged by Kalshi KXWTI-26OCT1414-T93.99 settlement at 2026-10-14: If the daily settlement price for WTI crude oil(November 2026 contract) on October 14, 2026 is above 93.99 USD/Bbl, then the market resolves to Yes.
The dispute that matteredThe panel split 0.51–0.56 primarily over how much weight to give short-run return autocorrelation/momentum: Analyst C measured autocorr_1=0.48 (strong, supporting 0.55), while Analyst B measured autocorr_1=0.176 on a different window (weak, supporting ~0.51). Analyst F's walk-forward test (i1_wf, p=0.627, no OOS edge) is the tiebreaker: it directly tests whether any momentum/regression signal generalizes out-of-sample and finds it does not. I resolved the disagreement by treating the in-sample autocorrelation estimates (B's and C's, which disagree with each other by 2.7x depending on window) as unreliable point estimates of a signal that F's independent validation shows has no demonstrated predictive power — so I pulled the consensus down from the raw log-odds pool (0.54) toward the lower end of the range, closer to the volatility-dominated coin-flip baseline, rather than endorsing the momentum-driven lift that pushed C and E to 0.55–0.56.
Synthesis
- WTI (Nov26 contract) closed at $93.74 on Oct 12, 2026.
- WTI rallied from a local low of $88.28 on Oct 7 to $93.74 on Oct 12, a ~6% move over 3-5 sessions.
- The strike for this question ($93.99) sits 0.27% above the last observed close.
- Daily log-return standard deviation estimates across analysts range 3.26%-4.59% depending on sample window (122-day samples cited).
- Open interest/volume (d5, per Analyst A) declined into the print.
- A walk-forward out-of-sample test of a momentum/regression signal (i1_wf) returned p=0.627, i.e., no statistically significant OOS edge.
- Random-walk / i.i.d. log-return models (normal approximation) used by Analysts B, C, E to translate the required 0.27% move into an implied probability.
- A 2-day bootstrap resampling (n=170) by Analyst D, giving median 2-day return +0.65% and implying P(exceed strike)≈0.53.
- A calibration-weighted log-odds pooling of the six post-debate probabilities, producing the deterministic committee number of 0.54.
- A walk-forward predictive regression test (Analyst F) assessing whether any momentum signal survives out-of-sample.
- The required 2-day move (+0.27%) is small relative to measured daily volatility, implying the outcome is noise-dominated rather than driven by a clear directional catalyst.
- The Kalshi strike was likely set deliberately near-the-money by the market designer (Analyst E's inference), which is a reasonable but unverified inference about market-maker intent.
- Recent positive drift and short-run autocorrelation provide at most a marginal, statistically fragile tilt above 50%.
- WTI settles above $93.99 on Oct 14, 2026 with probability ~0.53 (committee consensus), down slightly from the raw pooled 0.54 due to discounting the unvalidated momentum signal.
- Expected 2-day return on WTI over the horizon is modestly positive (~+0.3%), consistent with the blended drift estimates (0.09%-0.65%) across analysts, but this point estimate carries very wide variance relative to the magnitude of the move needed to flip the binary outcome.
- Whether the true 2-day return distribution for WTI is well-approximated as i.i.d./stationary — Analyst E flags non-stationarity (p=0.463) that undermines all the parametric and bootstrap estimates.
- Whether any exogenous catalyst (inventory data, OPEC headlines, geopolitical news) will arrive before Oct 14 settlement — none of the analysts retrieved inventory/outage data, a known gap.
- The true magnitude of return autocorrelation — estimates ranged from 0.176 to 0.48 depending on sample window, a 2.7x discrepancy that was never reconciled.
- Whether the committee's calibration track record (Briers 0.264-0.327, all analysts right less than half the time on accuracy metrics 0.29-0.45) generalizes to this specific near-ATM, short-horizon commodity question.
- The actual Kalshi market-implied probability was not observed by any analyst, so we cannot assess whether 0.53 represents real edge or is already priced in.
| Public Markets Analyst (C) | 0.22 | Best segment calibration in panel (Brier 0.264, n=10) and highest domain relevance to price-series mechanics; but evidence (last close 93.74, vol, autocorr) overlaps heavily with A/D/E so down-weighted for independence. |
| Causal Skeptic (F) | 0.22 | Only analyst who ran an out-of-sample validation (walk-forward p=0.627) rather than just in-sample stats; this is the single most decision-relevant and independent piece of evidence in the panel, directly undercutting the momentum story used by A/C/D/E to justify >50% tilts. Strong calibration (Brier 0.268, n=32). |
| Quantitative Researcher (D) | 0.20 | Largest sample (n=29) and only bootstrap-based percentile estimate (independent methodology from the parametric normal-approx used by others), giving a genuinely distinct line of evidence. Good calibration (Brier 0.271). |
| Market Positioning Analyst (E) | 0.16 | Adds useful meta-reasoning about strike placement (market-maker chose ATM strike) and flags non-stationarity (p=0.463), a caveat none of the others raise. Evidence otherwise duplicates A/D's price/vol series. |
| Commodities Analyst (A) | 0.12 | Domain-relevant but weakest calibration in the panel (Brier 0.294, lowest accuracy) and evidence (price gap, declining OI) is a subset of what others already captured; treated as corroborating, not independent. |
| Weather Analyst (B) | 0.08 | Lowest domain relevance to oil pricing (weather is the actual specialty; commodities is only 0.7 relevance) and weakest accuracy (0.357 on a 14-sample base is too small to trust); correctly notes the weather insight itself is flagged WEAK and inapplicable, which is useful disconfirmation but adds no new positive evidence. |
- If WTI's official settlement price for Oct 14, 2026 (as reported by CME/EIA and used for Kalshi resolution) is at or below $93.99, this forecast (consensus P=0.53 for YES) is falsified in that outcome.
- If a replication of the walk-forward momentum test on an updated/independent dataset finds a statistically significant OOS edge (p<0.05) in the direction used by Analysts C/E, the decision to discount momentum in this synthesis should be revisited.
- If Kalshi's actual traded/implied probability for this contract (observable pre-settlement) is found to differ from 0.53 by more than the stated 0.47-0.59 CI, that would indicate the committee's model missed information priced in by the market.
The seats
Commodities Analyst54%
49% Unconditional probability that a 2-day-ahead WTI settlement exceeds a strike set 0.27% above the current close, assuming near-random-walk daily returns centered near zero with historical daily sd ~4.08% (d2/s2) and 2-day sd ~5.8%; such a close threshold with no drift resolves YES near 50%, slightly below if the return distribution is left-skewed as in the shorter sample.
A 0.27% buffer against ~4%/day volatility is essentially a coin-flip with a razor-thin informational edge; the 'momentum' argument is recency bias on 3 data points, and the negative skew in the shorter d2 sample (which I partially discount) could just as easily mean a sharp reversal/pullback is overdue after a 6% four-day rally, pushing settlement below strike. Treating this as anything other than ~50% risks overfitting to a short momentum streak.
- Spot is only 0.27% below strike after a strong 3-day rally, the single most decision-relevant fact.
- Daily volatility (~4%) swamps the 0.27% buffer in either direction, meaning the outcome is dominated by near-term noise rather than a clear fundamental signal.
If WTI (Nov contract) settles below $92.50 on 10/14 (giving back more than half the prior 3-day rally), that falsifies the momentum-continuation thesis and confirms the left-tail/negative-skew risk dominated instead.
- d2/s3 daily log-return series (sd ~4.0-4.1%) is representative of near-term 2-day volatility; no major scheduled macro/OPEC event between 10/13 and 10/14 is assumed absent since none appears in the data.
- d4 series reflects a term-structure/basis-type metric (not returns) and its stability implies no acute physical tightening/loosening signal over the observed window.
- The Kalshi settlement mechanism tracks the Nov WTI futures contract closely enough that the recent price series (d1) is a valid proxy.
- Declining open interest/volume (d5) is treated as a liquidity/participation signal, not a directional one.
debate skipped: panel unanimous within 0.05
small sample (n=12 < 30)
Weather Analyst51%
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Public Markets Analyst55%
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Quantitative Researcher53%
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Market Positioning Analyst56%
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Causal Skeptic52%
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Claims and evidence
The debate
| Commod | Weathe | Public | Quanti | Market | Causal | |
|---|---|---|---|---|---|---|
| Commodities | ||||||
| Weather | ||||||
| Public Marke | ||||||
| Quantitative | ||||||
| Market Posit | ||||||
| Causal Skept |
WTI settled 10/12 at $93.74, just $0.25 (0.27%) below the $93.99 strike, after three consecutive up days (+3.57%, +0.39%, +2.04% log returns) lifting price ~6% off the 10/7 low of $88.28. The curve/balance signal is largely silent on direction — d4 (a term-structure/basis-type ratio, stable ~7.3-7.6%) shows no acute tightening or loosening over the period, and open interest/volume (d5) has declined into the print, suggesting thinning liquidity rather than a fresh fundamental shock. This is primarily a momentum/random-walk question over a tiny 2-day window with a very small required incremental move relative to daily volatility.
WTI's Nov26 contract closed at $93.74 on Oct 12, just 0.27% below the $93.99 settlement threshold for Oct 14. Treating daily log returns as approximately i.i.d. (mean 0.091%, sd 3.26% from the 122-day sample, s2/d2), the 2-day distribution implies the required move sits almost exactly at the distribution's mean, yielding a near-coin-flip probability (~49-51%) of settling above $93.99. Recent price action shows a sharp 6%+ rally over the last week with two large single-day jumps (Oct 8: +3.57%, Oct 12: +2.04%), but daily-return autocorrelation is low (0.176), so this momentum has only marginal statistical persistence into the 2-day horizon. The weak, 21-day-horizon wind-gust insight (insight:ins_01M3ZV4EM46811213JGQGR) is not applicable to this short window and is itself flagged WEAK. I lean very slightly above 50% given the proximity to threshold and marginal positive drift/momentum, but this is close to a coin flip given data limitations (no inventory/outage data retrieved).
WTI closed 10/12 at 93.74, just 0.27% below the 93.99 strike, after a 5-day, +6.2% rally (88.28→93.74). Given a daily return distribution centered near +0.33% mean with 4.6% sd and positive autocorrelation (momentum), the probability of settling above the strike on 10/14 is modestly above a coin flip, not strongly skewed either way given the proximity of price to strike and weak statistical significance of the momentum signal.
The required move (last close 93.74 on Oct 12 to above 93.99 by Oct 14 settlement, i.e. +0.267% over 2 trading days) is small relative to daily WTI volatility (~4% daily sd). A random-walk base rate implies a probability close to 50%, modestly lifted by observed positive short-run drift and momentum.
The Kalshi strike (93.99) sits essentially at-the-money against the last observed WTI close (93.74 on Oct 12), implying the market-maker chose this strike specifically because it splits near 50/50. Given daily return volatility (sd≈3.26%, s2) is far larger than the 0.27% gap needed to cross the strike, the gap itself carries almost no statistical information (z≈0.06-0.08σ for 1-2 day horizon). The only asymmetry comes from the recent 4-day run of positive returns (d2 last values: +0.036, +0.004, +0.020) and a mildly positive mean daily drift (0.09%, s2) with modest positive autocorrelation (0.176, s2), both of which lean marginally bullish. This nudges my estimate from a flat-coin 50% base rate to ~56%, not further, because (a) short-horizon return autocorrelation is weak and could reverse, (b) WTI price series is non-stationary (s5, p=0.463) so level-based extrapolation is unreliable, and (c) I have no direct Kalshi order-book/implied-odds data to confirm the market hasn't already priced in more upside than the raw statistics suggest. Any apparent 'edge' here is thin and could easily be erased by overnight inventory data or OPEC headlines between now and settlement.
None of the causal/predictive insights offered (wind-gust factor, momentum regression, event-study CAR, i1_x regression) survive scrutiny: they are either horizon-mismatched, statistically non-significant, driven by influential outliers, regime-unstable, or fail walk-forward out-of-sample validation. The question is best treated as a near-coin-flip random-walk problem around a price (93.74) sitting just $0.25 below the $93.99 threshold, with no validated causal driver justifying a confident directional tilt.
debate skipped: panel unanimous within 0.05
debate skipped: panel unanimous within 0.05
debate skipped: panel unanimous within 0.05
debate skipped: panel unanimous within 0.05
debate skipped: panel unanimous within 0.05
debate skipped: panel unanimous within 0.05
All six analysts are effectively analyzing the same two data objects — the recent OHLC price path (88.28→93.74) and a daily-return volatility/autocorrelation estimate — through slightly different windows and parametric choices. This is not six independent lines of evidence; it collapses to two: (1) a volatility-dominated random-walk baseline putting the required +0.27% move near a coin flip, and (2) a contested momentum/autocorrelation adjustment (ranging 0.176 to 0.48 across samples) that nudges estimates up to 0.55-0.56 for some analysts. The single causal validation test in the panel (Analyst F's walk-forward, p=0.627) shows this momentum signal does not survive out-of-sample testing, which I treat as the most decision-relevant and independent piece of evidence, since it is the only test of whether the pattern generalizes rather than just describes the recent sample. I therefore weight the panel toward the lower/more skeptical estimates (F, D, B) and pull the consensus to 0.53, just below the raw calibration-weighted pool of 0.54. Given the 0.27% required move is roughly 1/12th of daily volatility, this is a near-coin-flip event with thin, statistically fragile edge; no inventory, OPEC, or outage data was retrieved by any analyst, which is a real gap given the 2-day horizon spans a window where such news commonly moves oil >1%. Tradeability: the edge (0.53 vs. an assumed ~0.50 market prior) is too thin and too dependent on an unvalidated momentum signal to support a high-conviction position; data quality gaps (no fundamental/inventory data, no observed Kalshi market price) further compress confidence. If a tradeable expression is wanted, I would only support a small, strictly risk-capped long-YES position (sized at a fraction of normal size, e.g., 20-30% of standard allocation) conditional on the actual Kalshi market price being observably below ~0.50, treating this as a marginal-edge, high-noise trade rather than a high-conviction one. Otherwise, the correct stance is explicitly "no trade" — the signal-to-noise ratio here is too low to clear transaction costs and slippage with confidence.
Assumptions
- untestedd2/s3 daily log-return series (sd ~4.0-4.1%) is representative of near-term 2-day volatility; no major scheduled macro/OPEC event between 10/13 and 10/14 is assumed absent since none appears in the data.
- untestedd4 series reflects a term-structure/basis-type metric (not returns) and its stability implies no acute physical tightening/loosening signal over the observed window.
- untestedThe Kalshi settlement mechanism tracks the Nov WTI futures contract closely enough that the recent price series (d1) is a valid proxy.
- untestedDeclining open interest/volume (d5) is treated as a liquidity/participation signal, not a directional one.
- untestedDaily log returns are approximately i.i.d. with mean/sd matching the 122-day sample (d2/s2), despite low autocorrelation (0.176) suggesting weak but nonzero persistence.
- untestedThe Oct 12 close of 93.74 (d1) is the most recent available settlement proxy and is a reasonable base for projecting Oct 14 settlement.
- untestedNo major scheduled macro/OPEC/geopolitical catalyst is assumed between Oct 13 and Oct 14 settlement beyond what's embedded in recent volatility.
- untestedLevel-based regressions are avoided given non-stationarity (s3); analysis is done in log-return space instead.
- untestedd1 series represents WTI daily settlement price history ending 2026-10-12 at 93.74 USD/Bbl
- untestedd2 series represents daily log returns on the same contract (or a close proxy), mean 0.33%, sd 4.59%
- untestedThe Oct 14 settlement is effectively 1-2 trading sessions ahead of the last observed print (Oct 12 close), since as_of is Oct 13 11:35 UTC and the question horizon is 2d
- untestedNo major scheduled macro/OPEC event is flagged in the data; absent that, I treat the return process as roughly i.i.d. with momentum captured by autocorr_1=0.48
- untestedd2/d3 return series represent the Nov 2026 WTI contract's dynamics over the relevant window.
- untestedNo unmodeled scheduled macro/OPEC/EIA event shifts the distribution materially before Oct 14 (untested, no news feed here).
- untestedBootstrap in s4 adequately captures autocorrelation despite inconsistency between d2 (autocorr 0.014) and d3 (autocorr 0.488).
- untestedPrice level is non-stationary (ADF p=0.463) so return-based modeling is appropriate rather than price-level mean reversion.
- untestedThe last available WTI print (93.74 on Oct 12) is representative of price going into Oct 13 trading with no large overnight gap already priced in that I cannot observe.
- untestedKalshi settlement follows the underlying Nov26 WTI futures contract closely without significant basis distortion.
- untestedNo major scheduled catalyst (EIA inventory, OPEC statement, geopolitical event) between as_of and settlement is assumed absent specific data, though this is a real source of uncertainty.
- untestedDaily return distribution (d2) is stationary and representative of near-term volatility despite the price level itself being non-stationary (s5).
- untestedLast observed WTI close (d1, 2026-10-12=93.74) is the most recent price prior to the Oct13 session; no intraday Oct13 data provided.
- untestedDaily log-return sd ≈0.0337 (d2) is representative of near-term volatility regardless of recent trend.
- untestedSettlement = close on Nov2026 contract approximates spot WTI series used in d1/d2.
- untestedNo fundamental (inventory, OPEC, geopolitical) data was supplied, so any directional view is purely statistical extrapolation.
Simulated trade
The portfolio manager proposed no paper trade. The purported 0.53-0.54 probability is built from a momentum/autocorrelation signal that explicitly failed out-of-sample validation (p=0.627), leaving a volatility-dominated baseline effectively at 0.50. No analyst retrieved the actual market-implied price for this binary outcome, no inventory/OPEC/outage data was checked despite a 2-day window where such events commonly move WTI >1%, and crowding in directional oil positioning is already high (0.8). The residual edge (~3pp) is within the noise band of the estimation methodology itself and would not reliably clear even a 2bps transaction cost once accounting for the fragility of the underlying signal and the unknown market price. This is a 'near-coin-flip with fragile edge' case where the correct action is to decline rather than size a position on an unvalidated statistical artifact.
Forecasts
| Seat | Stage | P | Base | Resolves | Outcome | Brier |
|---|---|---|---|---|---|---|
| Committee | final | 54% | — | 2026-10-14 | open | — |
| Commodities Analyst | prior | 30% | 49% | 2026-10-14 | open | — |
| Commodities Analyst | independent | 54% | 49% | 2026-10-14 | open | — |
| Commodities Analyst | revised | 54% | 49% | 2026-10-14 | open | — |
| Weather Analyst | prior | 50% | 49% | 2026-10-14 | open | — |
| Weather Analyst | independent | 51% | 49% | 2026-10-14 | open | — |
| Weather Analyst | revised | 51% | 49% | 2026-10-14 | open | — |
| Public Markets Analyst | prior | 30% | 50% | 2026-10-14 | open | — |
| Public Markets Analyst | independent | 55% | 50% | 2026-10-14 | open | — |
| Public Markets Analyst | revised | 55% | 50% | 2026-10-14 | open | — |
| Quantitative Researcher | prior | 22% | 50% | 2026-10-14 | open | — |
| Quantitative Researcher | independent | 53% | 50% | 2026-10-14 | open | — |
| Quantitative Researcher | revised | 53% | 50% | 2026-10-14 | open | — |
| Market Positioning Analyst | prior | 12% | 50% | 2026-10-14 | open | — |
| Market Positioning Analyst | independent | 56% | 50% | 2026-10-14 | open | — |
| Market Positioning Analyst | revised | 56% | 50% | 2026-10-14 | open | — |
| Causal Skeptic | prior | 15% | 48% | 2026-10-14 | open | — |
| Causal Skeptic | independent | 52% | 48% | 2026-10-14 | open | — |
| Causal Skeptic | revised | 52% | 48% | 2026-10-14 | open | — |