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Commodities · 4d · asked 2026-10-24 · scored 2026-10-27

Will WTI oil on Oct 27, 2026 close above $103.49?

Oil Price (WTI) on Oct 27, 2026? — Above $103.49

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

Committee49%logodds poolLog-odds pool How the committee number is made: each seat's probability is turned into log-odds, averaged with calibration weights, and turned back. Deterministic. The portfolio manager explains it; it does not pick it. glossary · PM stated 49%
Market at the time50%committee minus market −1%
ResolvedNoBrierBrier score How wrong a probability was, squared. Say 70% and it happens: (0.7 − 1)² = 0.09. Say 70% and it doesn't: 0.49. Lower is better; always saying 50% scores 0.25, so anything above 0.25 is worse than a coin flip. glossary 0.243 vs marketMarket Brier The same squared error, but for the Kalshi price at the moment the question was asked. It is the bar: beating it means knowing something the price did not. glossary 0.250 · lower is better

Judged by Kalshi KXWTI-26OCT2714-T103.49 settlement at 2026-10-27: If the daily settlement price for WTI crude oil(December 2026 contract) on October 27, 2026 is above 103.49 USD/Bbl, then the market resolves to Yes.

0%50%100%
Commodities Analyst51%
Weather Analyst52%
Public Markets Analyst50%
Quantitative Researcher47%
Market Positioning Analyst47%
Causal Skeptic49%
Committee49%

Hollow: before the debate. Gold: after. Blue rule: the market. Red rule: what happened. Debate skipped: the seats agreed within a few points. Sat out: Historical Analog Analyst.

The dispute that matteredE reports an ADF test rejecting the unit-root null (p=0.0257), implying mean-reversion and a pullback tilt from a price 1.8 standard deviations above the 21-day mean; F reports an ADF test on the price series that fails to reject the unit-root null (p=0.469), implying a pure random walk with no mean-reversion anchor. These are opposite statistical conclusions about the same underlying process. I resolved this by treating ADF results as highly sensitive to window length/specification and noting F's test was run on the full 83-obs price level series (the more standard, better-powered specification) while E's test appears run on a shorter/transformed series — I down-weight E's mean-reversion/pullback claim rather than let it pull the consensus materially below 50%, but preserve a small residual downside tilt since the q95/local-extreme observation (independently confirmed by both B and C) points the same direction as E's claim even without relying on the contested ADF result.

Synthesis

All six analysts converge on 0.47-0.52 because they are largely citing the same core fact (last close $103.40 is $0.09 below the $103.49 strike, well inside daily noise) — this is one independent evidence line repeated six times, not six confirmations. After collapsing duplicates, the genuinely independent evidence is: (1) the ATM gap-vs-volatility noise argument (shared), (2) the strike sitting above ~95th percentile of the 21-day range (B, C — mild bearish), (3) negative return skew (D — mild bearish), (4) contradictory ADF unit-root results (E bullish-pullback vs F random-walk) — the one real disagreement, resolved by discounting E's mean-reversion claim given test fragility. Net: I set consensus at 0.49, essentially matching the deterministic pool, with a CI of [0.42, 0.57] reflecting that six independently-calibrated but evidence-overlapping analysts all landed within a tight band around 50%. Expected return of the resolution variable (price level) over the horizon is ~0 given no statistically significant drift (bootstrap CI straddles zero) and a unit-root-consistent (or at best weakly mean-reverting) process. This is NOT a tradeable edge at current information: with consensus at 0.49 and no analyst materially outside 0.47-0.52, any Kalshi contract priced near 50¢ offers no exploitable mispricing given the uncertainty band. I would only size a position if the live market price deviated by >8-10 points from 50/50, and even then would treat it as a small, volatility-constrained bet, not a conviction trade. Novelty is low (0.1) — this is textbook ATM-strike-equals-coin-flip reasoning — and crowding is high (0.85), since any analyst with the same two data points would reach the same conclusion, limiting the value of ensemble diversity here.
Observed · in the data
  • WTI (Dec26 contract proxy) last settlement on 2026-10-23 = $103.40.
  • Kalshi strike for this question = $103.49, a gap of $0.09 (0.087%).
  • Trailing 6-obs price path oscillated between $97.15 and $103.70 over roughly two weeks.
  • 21-day trailing price distribution has q95 ≈ 103.44, meaning the strike sits above effectively the whole recent 21-day range except the single latest print.
  • Daily return/volatility estimates across analysts range sd≈2.88%-4.90% depending on series/window used.
  • ADF test results on (likely different) price series specifications disagree: one rejects unit root (p=0.0257), one does not (p=0.469).
Modeled · a tool computed it
  • Calibration-weighted log-odds pooling of six analysts' post-debate probabilities (deterministic pool = 0.49).
  • Implied 2-day volatility scaling (~4.5%) from daily sd, used to argue the gap-to-strike is statistically negligible.
  • Bootstrap 95% CI on a related mean-return series [-0.0010, 0.0088], straddling zero.
Inferred · the committee's reasoning
  • The $0.09 gap to strike is well within normal single/two-day noise given measured volatility, making resolution dominated by noise rather than trend.
  • Near-zero return autocorrelation (0.024) implies the recent rally should not be extrapolated as momentum.
  • Negative return skew (-0.71) and the strike's position above the 95th percentile of the 21-day range together suggest a marginal (not material) downside tilt rather than upside.
Predicted · what it expects
  • Probability WTI settles above $103.49 on 2026-10-27 ≈ 0.49, essentially a coin flip with a slight downside lean.
  • No statistically reliable directional edge exists over this 4-day/≈2-trading-session horizon beyond the null (random-walk) model.
Uncertain · what it does not know
  • Which ADF specification (E's vs F's) is the correct characterization of the series' mean-reversion properties — this materially affects whether a pullback tilt is justified.
  • True daily volatility, given analysts report sd estimates spanning 2.88%-4.90% from differently constructed series.
  • Whether any unmodeled news/supply event (e.g., OPEC action, geopolitical shock) between 10/24 and 10/27 could move price well outside the noise band — none is in the data provided, but absence of evidence is not evidence of absence at a 4-day horizon.
How the seats were weighed · not an average
Public Markets Analyst (C)0.20Best calibration in segment (brier 0.257, highest router weight 0.99) and highest domain relevance to a price-threshold question; contributes genuinely distinct evidence (autocorr=0.024, q95 level comparison) not just the shared gap-to-strike fact.
Causal Skeptic (F)0.18Second-best calibration (brier 0.267); adds the only rigorous model-adequacy check (ADF unit-root test on price level, p=0.469) and explicitly discredits weak causal stories (wind-gust, COT) that could otherwise bias others — high independence value as a 'null-hypothesis' check.
Quantitative Researcher (D)0.17Mid-tier calibration (brier 0.273); unique evidence (skew -0.71, kurtosis 5.33, bootstrap CI on drift) not duplicated elsewhere; good regime fit for short-horizon distributional reasoning.
Weather Analyst (B)0.13Good accuracy (0.5625) but low domain relevance to oil fundamentals; most of its evidence (last-close gap, resistance ceiling) duplicates Commodities Analyst A — down-weighted for non-independence.
Commodities Analyst (A)0.13Highest domain relevance but weakest accuracy (0.488, below coin-flip) in this segment; its two main evidence points (ATM gap, resistance pattern) overlap heavily with B — treated as largely the same evidence line.
Market Positioning Analyst (E)0.19Weakest calibration (brier 0.284, accuracy 0.491) but contributes the sole mean-reversion signal (ADF p=0.0257, price 1.8sd above 21-day mean) that directly contradicts F's unit-root finding — kept in pool to represent that disagreement but discounted for low accuracy track record.
Wrong if
  • If WTI trades with daily absolute moves >2x the historically observed sd (e.g., >8-10%) between 10/24 and 10/27, the 'no identifiable drift, pure noise' model is falsified and a fundamental/news-driven explanation should be sought.
  • If the market-implied probability (Kalshi contract price) on 10/26 diverges from 0.45-0.55 by more than 10 points without new price-series data to justify it, that indicates information not captured in this evidence set and the consensus should be revisited.
  • If WTI settles exactly at or very near $103.49 (within $0.05) on 10/27, this confirms the ATM/coin-flip framing was the correct lens; a settlement far outside the $97-104 recent range would falsify the random-walk/no-trend model entirely.

The seats

Each analyst's own memo, evidence and tests. Open a seat to read it.

Commodities Analyst51%confidence 35%

Objective: explain price through the physical market. Supply, demand, inventories, storage injections/withdrawals, transportation and basis, futures curve shape (contango/backwardation), seasonality, production and consumption. You think in balances: what tightens or loosens the balance over the horizon, and by how much relative to normal. You distrust price-only arguments. Ask what the curve already implies.

Thesis. The Kalshi strike (103.49) sits essentially on top of the current settlement price (103.40), so the 4-day-horizon question reduces to a near-symmetric coin flip dominated by short-term return noise (sd~3.2%/day) rather than any identifiable physical supply/demand imbalance in the data provided; a mild technical resistance pattern at 103.5-103.7 is offset by current upward momentum, leaving probability close to 50% with a slight tilt above it from marginally positive mean daily returns.
Base rate

50% For an at-the-money strike (settlement within 0.1% of the current price) with ~2 trading days to resolution and roughly symmetric, near-zero-drift short-horizon returns, the unconditional base rate of settling above the strike is close to a coin flip.

The best case against

The strike sits almost exactly at the level (103.5-103.7) that has already repelled price twice in the past six sessions (10/19 high 103.70, immediate reversal to 97.15), which is a physical/technical resistance signature (likely tied to a supply/demand or positioning ceiling, e.g., producer hedging flow or a technical/psychological round number near recent highs). That repeated rejection argues for probability below 0.5, not above — my slight lean upward from drift may be overridden by this resistance pattern, which a pure random-walk framing ignores.

Strongest evidence
  • Last settlement 2026-10-23 = 103.40, only 0.09 (0.087%) below the 103.49 strike — essentially at-the-money with 2 trading days left.
  • Daily return distribution: mean 0.12%, sd 3.2%. Over ~2 trading days, sd scales to ~4.5%, dwarfing the 0.087% gap needed, so the resolution is dominated by noise, not trend.
  • Series shows a round-trip: hit a 21-day high of 103.7 on 10/19, fell to 97.15 by 10/21, then rallied back to 103.4 by 10/23 — i.e., 103.5-103.7 has already acted as a near-term ceiling/resistance level twice in the last week.
Wrong if

If the Dec2026 WTI contract settles on 2026-10-27 at or below 103.49, or if it fails to close above 103.70 (the recent 21-day high) at any point before settlement, that would confirm the resistance-driven view and falsify the slightly-above-50% probability given here.

Assumes
  • d1 represents WTI (or Dec26 WTI futures proxy) daily settlement levels; last observation (103.4 on 2026-10-23) is the most recent tradable reference for the Dec2026 contract.
  • d2 is daily log/pct returns of the same WTI series (mean~0.12%, sd~3.2%), roughly consistent with d1 level changes.
  • d3, d4, d5 are secondary series (e.g., a related spread, implied vol/basis, and a flow/inventory surprise metric) used only as context, not as direct price drivers given no explicit causal link established.
  • No major scheduled macro/OPEC/EIA event is assumed between Oct 24-27, 2026 beyond normal weekly EIA inventory report; no new geopolitical shock is assumed.
Memo to the committee
This is a near at-the-money bet: WTI(Dec26 proxy) settled 103.40 on 10/23 versus a 103.49 strike, a gap of only 0.087%, with 2 trading days to resolution. Daily return volatility (sd 3.2%, s2) scaled to the 2-day horizon (~4.5%) completely swamps that gap, so the outcome is close to a coin flip. Mean daily drift is slightly positive (0.12%) but the bootstrap CI for that mean spans zero, so I give it little weight. The one piece of physical-market-flavored evidence is technical: the 103.5-103.7 zone already rejected price once this week (hit 103.70 on 10/19, fell to 97.15 by 10/21), which argues for a modest downward tilt versus a naive 50/50. But the most recent two sessions show a sharp rally (+2.36%, +3.91%) with momentum pointed into that same zone, and daily-return autocorrelation is statistically near zero, so I don't weight the resistance pattern heavily either. Net: probability 0.51, essentially a coin flip with negligible edge, low-moderate confidence (0.35) given the lack of any genuine physical balance (inventories, basis, curve shape) data in the provided set — this call rests on return-distribution math, not fundamentals.
Rebuttal
debate skipped: panel unanimous within 0.05

Would change my mind: If the Dec2026 WTI contract settles on 2026-10-27 at or below 103.49, or if it fails to close above 103.70 (the recent 21-day high) at any point before settlement, that would confirm the resistance-driven view and falsify the slightly-above-50% probability given here.

After the debate · 51% → 51%

debate skipped: panel unanimous within 0.05

Data and tests · 10, as of
Weather Analyst52%confidence 35%

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Public Markets Analyst50%confidence 45%

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Quantitative Researcher47%confidence 45%

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Market Positioning Analyst47%confidence 35%

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Causal Skeptic49%confidence 40%

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Claims and evidence

Observation · seen in the data · 9
Model · a tool computed it · 4
Inference · reasoned from the above · 8
Forecast · what a seat expects · 5
Uncertainty · what a seat does not know · 3

The debate

Who challenged whom · severity 0 to 1
CommodWeathePublicQuantiMarketCausal
Commodities
Weather
Public Marke
Quantitative
Market Posit
Causal Skept
Sealed views · Each seat wrote alone. Nobody had seen another view.
Commodities Analyst
51% · confidence 35%

The Kalshi strike (103.49) sits essentially on top of the current settlement price (103.40), so the 4-day-horizon question reduces to a near-symmetric coin flip dominated by short-term return noise (sd~3.2%/day) rather than any identifiable physical supply/demand imbalance in the data provided; a mild technical resistance pattern at 103.5-103.7 is offset by current upward momentum, leaving probability close to 50% with a slight tilt above it from marginally positive mean daily returns.

Own objection: The strike sits almost exactly at the level (103.5-103.7) that has already repelled price twice in the past six sessions (10/19 high 103.70, immediate reversal to 97.15), which is a physical/technical resistance signature (likely tied to a supply/demand or positioning ceiling, e.g., producer hedging flow or a technical/psychological round number near recent highs). That repeated rejection argues for probability below 0.5, not above — my slight lean upward from drift may be overridden by this resistance pattern, which a pure random-walk framing ignores.

Weather Analyst
52% · confidence 35%

WTI (Dec26 contract proxy) closed Oct 23 at 103.40, just 0.09 (0.09%) below the 103.49 strike, making this essentially an at-the-money bet with only ~2 trading sessions (Mon Oct 26, settlement Tue Oct 27) to resolve. Recent price action shows high realized volatility (swings of 3-6% day-over-day: 99.47 to 103.40 in two sessions, and a prior spike to 103.70 that reversed to 97.15 within two sessions) and no statistically reliable directional signal from the available weather/financial covariates at this horizon. With the strike effectively sitting on top of the last print, I treat this as close to a coin flip, with a very slight tilt upward from the immediate-prior-session momentum (two consecutive up days into the close).

Own objection: A mean-reversion read is equally defensible: the prior spike to 103.70 on 10/19 was immediately followed by a sharp reversal to 97.15 within two sessions (a -6.3% move), and the strike sits at the 95th percentile of the trailing 21-day distribution, meaning the base rate for the price staying this elevated or going higher could be below 50%, not above it -- my slight upward tilt from momentum is weakly justified and could just as easily be reversed to a slight downward tilt from mean-reversion, which would push probability toward 0.45-0.48 instead of 0.52.

Public Markets Analyst
50% · confidence 45%

The Kalshi strike of $103.49 sits essentially at-the-money relative to the last observed WTI settlement of $103.40 (2026-10-23), making this a near-coin-flip resolution over a ~3-trading-day horizon given measured daily volatility (~4.1% sd) far exceeds the ~0.09% gap to the strike. The near-zero autocorrelation in daily returns (0.024) means the recent sharp one-day rally should not be extrapolated as momentum, while the negative return skew and the fact that the strike is above the 95th percentile of the trailing 21-day price range argue for a probability marginally at or slightly below 50%, not materially above it.

Own objection: The required move to resolve YES is only +0.09%, trivially small relative to the ~4% daily vol (d2), making this essentially a coin flip that my modest 50% could be wrong in either direction by a few points just from noise; also the negative skew (-0.758) in d2 and the fact that the strike sits above the 95th percentile of the last 21 sessions (s1: q0.95=103.44) both argue the balance of probability should be modestly below 50%, not at it — the most recent day's spike to 103.4 may itself be a one-off upside outlier about to mean-revert given the series' negative skew and the large historical drawdowns (min -17.9% single-day log return in d2).

Quantitative Researcher
47% · confidence 45%

With last close (103.40) only 0.087% below the 103.49 strike and near-zero statistically significant drift in daily returns, this threshold-crossing question over a 2-trading-day window is close to a coin flip; a slight downside tilt from negative return skew brings the estimate marginally below 50%.

Own objection: The random-walk/normal-return model ignores that the last 6 observations show a violent 97.15→103.7 swing in under 2 weeks (d1), suggesting the recent regime is driven by discrete news shocks (e.g., supply/geopolitical events) rather than i.i.d. Gaussian noise. The most recent single-day return was +3.9% (2026-10-23 per d2), suggesting active upward momentum/catalyst that a static unconditional distribution does not capture. If that catalyst persists, probability could be meaningfully above 0.5, and my Gaussian approximation understates fat-tail jump risk in both directions.

Market Positioning Analyst
47% · confidence 35%

The $103.49 strike sits essentially at-the-money relative to the last observed settlement ($103.40 on Oct 23), with only ~1 effective trading session before the Oct 27 settlement (weekend in between). Given realized daily volatility of this magnitude ($3-5 absolute moves, sd≈3.4-4.9), a $0.09 gap is statistical noise - the market is pricing this close to a coin flip, and there is no durable edge from the fundamental trend alone over such a short horizon.

Own objection: If there is a live directional catalyst (e.g., sanctions, OPEC+ supply news, geopolitical escalation) driving the sharp run-up from 97.15 (Oct 21) to 103.4 (Oct 23) - a nearly 6.5% three-day rally - momentum/trend continuation could dominate any mean-reversion signal, and the market could gap further above 103.49 on follow-through buying, especially since weekend news risk (Oct 25-26) could resolve in either direction before Monday's settlement.

Causal Skeptic
49% · confidence 40%

WTI is at $103.40 (Oct 23 close), essentially at the $103.49 strike. No causal driver in the library survives scrutiny (wind-gust insight is flagged WEAK on retest with negative credit; COT-positioning regression is driven by one outlier and flips sign across regimes with zero OOS edge). The series itself is a non-stationary unit-root process (s2), so the only defensible model for the 4-day horizon is a near-martingale random walk around the last price, not any 'story' about fundamentals. On that basis this is close to a coin flip, with a small adjustment for the tiny distance-to-strike and slightly negative historical skew.

Own objection: If the question designer deliberately set the strike at/near the recent close, momentum traders might push price slightly above it mechanically (pinning/rounding effects near round psychological levels, or short-covering into month-end), which a pure random-walk model ignores and which I cannot test with the data provided.

Revisions · Every change of mind pinned to one piece of evidence.
Commodities Analyst
51% → 51%

debate skipped: panel unanimous within 0.05

Weather Analyst
52% → 52%

debate skipped: panel unanimous within 0.05

Public Markets Analyst
50% → 50%

debate skipped: panel unanimous within 0.05

Quantitative Researcher
47% → 47%

debate skipped: panel unanimous within 0.05

Market Positioning Analyst
47% → 47%

debate skipped: panel unanimous within 0.05

Causal Skeptic
49% → 49%

debate skipped: panel unanimous within 0.05

Synthesis · The portfolio manager weighs the seats. Not an average.
Portfolio Manager

All six analysts converge on 0.47-0.52 because they are largely citing the same core fact (last close $103.40 is $0.09 below the $103.49 strike, well inside daily noise) — this is one independent evidence line repeated six times, not six confirmations. After collapsing duplicates, the genuinely independent evidence is: (1) the ATM gap-vs-volatility noise argument (shared), (2) the strike sitting above ~95th percentile of the 21-day range (B, C — mild bearish), (3) negative return skew (D — mild bearish), (4) contradictory ADF unit-root results (E bullish-pullback vs F random-walk) — the one real disagreement, resolved by discounting E's mean-reversion claim given test fragility. Net: I set consensus at 0.49, essentially matching the deterministic pool, with a CI of [0.42, 0.57] reflecting that six independently-calibrated but evidence-overlapping analysts all landed within a tight band around 50%. Expected return of the resolution variable (price level) over the horizon is ~0 given no statistically significant drift (bootstrap CI straddles zero) and a unit-root-consistent (or at best weakly mean-reverting) process. This is NOT a tradeable edge at current information: with consensus at 0.49 and no analyst materially outside 0.47-0.52, any Kalshi contract priced near 50¢ offers no exploitable mispricing given the uncertainty band. I would only size a position if the live market price deviated by >8-10 points from 50/50, and even then would treat it as a small, volatility-constrained bet, not a conviction trade. Novelty is low (0.1) — this is textbook ATM-strike-equals-coin-flip reasoning — and crowding is high (0.85), since any analyst with the same two data points would reach the same conclusion, limiting the value of ensemble diversity here.

Consensus 49% · interval 42% to 57%

Assumptions

Holding · 23
  • holding
    d1 represents WTI (or Dec26 WTI futures proxy) daily settlement levels; last observation (103.4 on 2026-10-23) is the most recent tradable reference for the Dec2026 contract.
    Commodities Analyst
  • holding
    d2 is daily log/pct returns of the same WTI series (mean~0.12%, sd~3.2%), roughly consistent with d1 level changes.
    Commodities Analyst
  • holding
    d3, d4, d5 are secondary series (e.g., a related spread, implied vol/basis, and a flow/inventory surprise metric) used only as context, not as direct price drivers given no explicit causal link established.
    Commodities Analyst
  • holding
    No major scheduled macro/OPEC/EIA event is assumed between Oct 24-27, 2026 beyond normal weekly EIA inventory report; no new geopolitical shock is assumed.
    Commodities Analyst
  • holding
    d1's last value (103.40, dated 2026-10-23) is a reasonable proxy for the Dec26 WTI contract referenced in the Kalshi question.
    Weather Analyst
  • holding
    No major scheduled macro/OPEC/inventory event between Oct 24 and Oct 27 is visible in the provided data (none was supplied), so I assume no outsized catalyst beyond normal daily volatility.
    Weather Analyst
  • holding
    d2's return series (sd=6.2%/obs) is too volatile/unclear in provenance to be treated as daily WTI log-returns and was therefore down-weighted rather than used to directly parameterize a vol model.
    Weather Analyst
  • holding
    Weather-linked insight (ins_01M3ZV4EM46811213JGQGR) operates on a 21-day forward horizon and is explicitly WEAK with a failed-edge retest (OOS excess ~0, hit rate 0.52, i1_wf p=0.62); irrelevant/non-informative for a 2-day horizon.
    Weather Analyst
  • holding
    d1 represents daily settlement/close prices of the underlying WTI (Dec26) contract over the last 21 sessions, with the most recent value (103.4 on 2026-10-23) as the relevant spot anchor.
    Public Markets Analyst
  • holding
    d2 is the corresponding daily log-return series for the same contract (sd ~4.09%), used to project forward volatility.
    Public Markets Analyst
  • holding
    Trading-day horizon from 2026-10-24 (as_of) to settlement on 2026-10-27 is approximately 2-3 sessions.
    Public Markets Analyst
  • holding
    No major scheduled macro/OPEC event exogenous to the data is assumed between now and settlement (none flagged in data).
    Public Markets Analyst
  • holding
    Settlement = WTI Dec26 futures contract price at close Oct 27, 2026.
    Quantitative Researcher
  • holding
    Daily log-returns (d2) are a reasonable proxy for Dec26 futures returns over the Oct24-Oct27 window.
    Quantitative Researcher
  • holding
    Only 2 trading days (Oct 24 Fri, Oct 27 Mon) separate as_of from settlement, weekend excluded.
    Quantitative Researcher
  • holding
    Return process approximated as near-iid given autocorr_1(d2)=0.015 (~0), consistent with ADF stationarity rejection of unit root (s5).
    Quantitative Researcher
  • holding
    d1 represents WTI (or the Dec26 contract) daily settlement/close values with the last point (103.4 on 10/23) being the most recent pre-event price.
    Market Positioning Analyst
  • holding
    d6 represents daily absolute price changes (not percentage) given the magnitude matches d1 scale.
    Market Positioning Analyst
  • holding
    Only one full trading session (Friday close feeding into Monday settlement, given Sat/Sun no trading) stands between the as_of date and resolution.
    Market Positioning Analyst
  • holding
    No Kalshi order book / implied probability data was provided directly, so I am inferring the market-implied probability should track near the statistical coin-flip estimate given proximity to strike.
    Market Positioning Analyst
  • holding
    Futures prices over a 4-day horizon are well-approximated by a martingale (no exploitable drift) absent a demonstrated causal driver.
    Causal Skeptic
  • holding
    The 'last' values in d1 are reliable point-in-time closes and not already stale/adjusted.
    Causal Skeptic
  • holding
    Library insight retests reflect genuine out-of-sample performance, not overfit artifacts of the retest window itself.
    Causal Skeptic

Simulated trade

The portfolio manager proposed no paper trade. Consensus probability (0.49, CI [0.42,0.57]) is statistically indistinguishable from a fair 50/50 ATM binary. Expected return of the underlying price is ~0 with a random-walk-consistent process over 4 days. Evidence across six analysts is highly redundant (crowding 0.85) — collapsing to ~2 independent weak signals, both small and offsetting against the one contested unit-root disagreement. There is no mispricing to exploit at current information unless the live traded contract price itself diverges meaningfully from 50%, which is a market-price observation not yet made, not a standalone directional thesis on WTI. Transaction costs and crowding further erode any residual edge. Trading this now would be forcing a position onto a coin-flip.

Forecasts

SeatStagePBaseResolvesOutcomeBrier
Committeefinal49%—2026-10-27No0.243
Commodities Analystprior33%50%2026-10-27No0.109
Commodities Analystindependent51%50%2026-10-27No0.260
Commodities Analystrevised51%50%2026-10-27No0.260
Weather Analystprior40%50%2026-10-27No0.160
Weather Analystindependent52%50%2026-10-27No0.270
Weather Analystrevised52%50%2026-10-27No0.270
Public Markets Analystprior30%50%2026-10-27No0.090
Public Markets Analystindependent50%50%2026-10-27No0.250
Public Markets Analystrevised50%50%2026-10-27No0.250
Quantitative Researcherprior30%50%2026-10-27No0.090
Quantitative Researcherindependent47%50%2026-10-27No0.221
Quantitative Researcherrevised47%50%2026-10-27No0.221
Market Positioning Analystprior30%50%2026-10-27No0.090
Market Positioning Analystindependent47%50%2026-10-27No0.221
Market Positioning Analystrevised47%50%2026-10-27No0.221
Causal Skepticprior40%50%2026-10-27No0.160
Causal Skepticindependent49%50%2026-10-27No0.240
Causal Skepticrevised49%50%2026-10-27No0.240

Reasoning graph

Every observation, test, claim, objection and forecast, as a graph
observationmemorytestassumptionclaimcounterargumentopinionforecasttrade
observationWTI.close [level]claim · observation · 90%Current price (103.40 as of 10/23) …opinionCommodities Analysttestdescribe: mean=0.0012177208636115322claim · model · 70%Short-horizon (2-day) return volati…claim · inference · 55%The 103.5-103.7 zone has acted as r…counterargumentThe most recent two sessions (10/22…claim · observation · 65%Daily return autocorrelation is nea…claim · forecast · 40%P(settlement > 103.49 on 10/27) is …testbootstrap_ci: mean=0.00482515699144…claim · observation · 95%Last observed WTI print (103.40, Oc…opinionWeather Analystclaim · observation · 90%Recent realized volatility is high:…testdescribe: mean=94.62571461995442claim · inference · 75%The strike (103.49) corresponds to …counterargumentPrice has already closed above this…insightDallas wind gust predicts oil 21d […claim · uncertainty · 80%No weather-driven or other library-…observationwalk_forward: OOS excess over the u…testcorrelation: corr=-0.06128290387762…claim · forecast · 40%Given the near-exact tie between la…claim · observation · 95%The last observed WTI settlement (2…opinionPublic Markets Analystteststationarity: =Noneclaim · model · 70%Daily WTI log-returns show sd ≈4.09…testregime_split: full-sample corr=0.17…claim · inference · 55%Over a 3-session horizon, a normal …testdescribe: mean=87.26253059111446claim · observation · 75%The 103.49 strike is above the 95th…counterargumentThe most recent close (103.40, 2026…claim · forecast · 45%Over the full 4-day window, the pro…claim · observation · 95%Last close (Oct 23) of 103.40 is on…opinionQuantitative Researcherclaim · model · 55%Modeling cumulative 2-trading-day l…counterargumentautocorr_1=0.015 is near zero but n…testregression: beta[cot_z]=0.007997472…claim · inference · 60%The mean drift in the related retur…claim · inference · 40%Negative skew (-0.71) in daily retu…counterargumentMost recent single-day return (+3.9…claim · forecast · 47%WTI Dec26 settlement on Oct 27, 202…counterargumentUntested: no walk-forward backtest …claim · observation · 75%The strike price ($103.49) is withi…counterarguments5 regression weakly suggests direc…opinionMarket Positioning Analystclaim · observation · 70%Price shows a sharp 3-session rally…counterargumentd6 shows prior swings of similar ma…claim · inference · 55%Current price is statistically elev…counterargumentADF stationarity test (s7) is based…claim · uncertainty · 90%No market-implied probability (Kals…claim · uncertainty · 20%The wind-gust → WTI insight (insigh…counterargumentDallas wind-gust is a plausible pro…opinionCausal Skeptictestregression: beta[cot_z]=0.007997472…claim · inference · 75%The COT-positioning (cot_z) regress…testregime_split: full-sample corr=0.17…testregression: beta[i1_x]=0.0106920735…claim · inference · 80%The i1_x factor has no demonstrated…testwalk_forward: OOS excess over the u…teststationarity: =Noneclaim · model · 70%WTI price level series is non-stati…claim · forecast · 50%Given the near-exact proximity of l…counterargumentRecent realized moves (97.15→99.47→…forecastP=0.49 Oil Price (WTI) on Oct 27, 2…
Click a node. Every conclusion traces back to observations and tests.