Will WTI oil on Oct 14, 2026 close above $94.99?

WTI settled at $92.07 on 2026-10-13 (d1). To resolve YES, the Nov26 contract must settle above $94.99 on 2026-10-14 — a one-day gain of +3.17% from the last print. Historical daily return distribution (d2/s2, n=249) has mean ~0.18%, sd 3.53%, with negative skew (-0.75) and fat tails (kurtosis 4.07). A +3.17% move sits between the empirical 75th (+2.22%) and 95th (+5.32%) percentiles of daily returns, implying roughly 12-19% unconditional probability of a move this large — but the negative skew means the left (down) tail is fatter than the right (up) tail, so the true probability of a large up-move of this magnitude is biased below the symmetric/interpolated estimate. There is no physical-market inventory, injection, or storage data in this dataset to support a supply-shock thesis; the move required is consistent with a geopolitical/outage shock magnitude, not routine demand/supply drift. Recent price action (89.44→93.74 over 4 sessions, then -1.8% pullback to 92.07) shows elevated volatility but no established upward momentum (autocorr_1≈0.003, essentially a random walk) that would make continuation to +3.17% more likely than the base rate implies.

Own objection: Oil is prone to discrete jump risk from geopolitical/supply shocks (e.g., sudden OPEC+ action, Middle East conflict escalation, or a major outage) that are not captured in a smooth historical return distribution; if such a catalyst materializes between 2026-10-13 and settlement on 2026-10-14, a +3.17% gap move is entirely plausible and the data available to me (price/return series only, no news/inventory feed) cannot detect or rule this out. The recent realized volatility pickup (last 5 sessions ranged from -1.8% to +3.57%) also shows the market is already in an elevated-vol regime, which could mechanically raise the probability of another outsized move beyond the full-sample historical base rate.

WTI closed at $92.07 on Oct 13, 2026. Clearing $94.99 on Oct 14 requires a +3.12% one-day move, which sits near the 81st percentile of the empirical daily return distribution, implying ~16-19% probability absent a new catalyst.

Own objection: An unmodeled overnight geopolitical or OPEC supply shock could produce a discontinuous jump beyond historical sd, especially given the price series' positive skew (1.30), meaning fat-tail upside risk may be underpriced by the empirical quantile approach.

WTI closed 92.07 on 2026-10-13 (d1 last). To settle above 94.99 on 2026-10-14 requires a +3.17% one-day move, roughly a 1-sigma event against daily return vol of 3.2% (s2). Empirical quantiles of the return series place a +3.17% move between the 75th (+1.71%) and 95th (+4.75%) percentiles — interpolating gives an upper-tail probability near 12-15%, below the naive normal estimate (~17%) because the realized distribution is negatively skewed (skew=-0.72) and leptokurtic (kurtosis=4.8), which thins the right tail relative to normal. No momentum signal supports continuation: return autocorrelation is essentially zero (0.0118, s2), so the prior day's -1.8% move (d2 last) carries no predictive information for today's direction or magnitude.

Own objection: Oil is subject to discrete geopolitical/supply shocks (e.g., sanctions, OPEC surprise, attack on infrastructure) that are not captured by the historical return distribution's tails; if such an event occurs between 2026-10-13 and settlement on 2026-10-14, the realized move could far exceed the historical 95th percentile, and the model has zero power to detect or price in news not yet in the data. Also the sharp volume collapse to 50,092 on 2026-10-13 (d4, far below the 2.84e5 mean) could indicate thin, pre-event positioning or a contract-roll artifact that elevates the chance of a violent repricing on settlement day.

Base rate for a >3.17% single-day WTI move is roughly 13% empirically; after modestly upweighting for the currently elevated realized-volatility regime evident in the last six sessions, but discounting for negative return skew (fatter left tail, thinner right tail) and the fact that Oct 13 was itself a pullback day from the recent local high, I land slightly above the unconditional base rate at ~16% probability of settlement above $94.99.

Own objection: Oil moves in discrete multi-sigma jumps on exogenous geopolitical/supply shocks (e.g., Strait of Hormuz disruption, major sanctions escalation, OPEC surprise cut) far more often than other asset classes, and such shocks are precisely what the recent realized-vol clustering (s2 last six obs: +2.04%, -1.80%, +3.57%, +3.9% range) may be signaling — a supply-side catalyst already in motion. If the Oct 12 rally to 93.74 reflects an unresolved geopolitical event (not visible in this dataset), the empirical unconditional distribution understates tomorrow's conditional tail risk, and a move to >$95 could be substantially more likely than the 13-16% base-rate-adjusted estimate suggests. I cannot rule this out because I have no news/event data, only price history.

WTI needs to rally ~3.1% from the last settlement (92.07 on 10/13) to clear 94.99 by the Oct 14 settlement. Given recent realized daily volatility (~3.2% sd) and a slight positive drift, this is roughly a 0.95-sigma one-day move — achievable but not the modal outcome. Price action has been choppy with no sustained momentum (last 6 days: 89.44→88.28→91.49→91.85→93.74→92.07), i.e., a pullback on the most recent print, working against the YES case going into settlement. No evidence of a volatility spike (implied-vol proxy d3 stable at 7-8%, no term-structure dislocation) that would suggest the market is pricing in an imminent catalyst-driven jump. Falling open-interest/volume proxy (d4: 230k-340k range collapsing to 50k on 10/13) suggests either contract roll-off or thinning participation, reducing confidence in any directional crowding signal and widening the plausible bid-ask on a Kalshi contract this granular.

Own objection: The statistical distribution (d2/s5) is built on unconditional daily log returns and ignores any scheduled catalyst (e.g., OPEC+ decision, EIA inventory surprise, geopolitical escalation) that could be specifically timed for Oct 13-14 and would shift the true conditional probability well above the unconditional model — a 3% one-day oil move on a single geopolitical headline is historically common and not well captured by a 21-day/122-return sample with sd=3.2%. If such a catalyst is already in motion as of 02:30 UTC on 10/14 (the as_of time), my estimate would be stale and too low.

The question requires WTI to close above 94.99 on Oct 14, a ~3.17% gain from the last observed settlement (92.07 on 2026-10-13). None of the supplied statistical evidence supports a directional causal lever large enough to produce that move; what evidence exists on momentum/weather linkages is weak, fragile, or fails out-of-sample, so the honest estimate is close to the unconditional tail probability of a one-day ~1-sigma up move, adjusted slightly downward for recent negative momentum and skew.

Own objection: Oil prices jump discontinuously on geopolitical/supply shocks (e.g., strikes on export infrastructure, OPEC surprise cuts, sanctions escalation) that are not captured by a historical sd-based tail estimate — such jump risk is regime-dependent and clusters exactly when it matters, meaning the Gaussian/empirical-quantile base rate systematically understates P(YES) in any period with elevated geopolitical tension. If I have no visibility into breaking overnight news as of 02:30 UTC on settlement day, I could be structurally underestimating tail risk.

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

BASE RATE: An unconditional one-day WTI move of ≥+3.1-3.2% occurs in roughly 12-19% of sessions historically (empirical 75th-95th percentile band, consistent across all six analysts' independently-windowed samples). Negative skew (-0.72 to -0.75) in the realized return distribution means the right tail is thinner than the left, which should pull the true probability toward the bottom of that band. UPDATE FROM BASE RATE: I start at the ~12-19% unconditional band and weight down toward 0.13, following the better-calibrated analysts (Quant Researcher, Causal Skeptic) who explicitly quantify the skew discount and who additionally show zero out-of-sample predictive edge in momentum (walk-forward p=0.634) and zero return autocorrelation. There is no data in this set — no inventory, no OI build, no implied-vol term structure dislocation — that supports a catalyst-driven case for upward revision above the base rate; if anything, the OI/volume collapse and the prior-day pullback are mild negatives. CONSENSUS: 0.13, CI [0.08, 0.19]. This sits slightly below the deterministic pooled 0.14 because I weight the two best-calibrated, most methodologically rigorous analysts (C, F) more heavily than their log-odds pooling weight alone implies, given their shared skew-adjustment logic and the walk-forward falsification evidence is a genuinely independent line not present in A/B/D/E's analyses. TRADEABILITY: This is a highly crowded, low-novelty view — six analysts converged on the same single evidence line (the empirical WTI return distribution) with only cosmetic differences in sample windows. Statistical quality of the base-rate exercise is reasonably strong (0.7) but data quality is middling (0.55): no fundamentals, no options-market-implied probability, no macro/geopolitical news feed, and the one "independent" dataset (volume/OI) is explicitly flagged as noisy and roll-contaminated. No market price for the underlying Kalshi-style contract was supplied, so I cannot state whether 0.13 implies an edge against the live price — if the market is pricing YES meaningfully above ~0.18-0.20, this would be a sell-YES candidate; if pricing below ~0.08-0.10, a buy-YES/skip candidate; absent that price, I do NOT recommend an unconditional directional trade. The honest trade recommendation is: check live market-implied probability against 0.08-0.19 CI before sizing any position; do not express a view purely on the model distribution without that comparison, since all evidence here is essentially one duplicated statistical line and carries no fresh informational edge over what any market participant could compute from the same price history.

Consensus 14% · interval 8% to 19%