POLYMARKET · PREDICTION MARKET · PGA TOUR: U.S. OPEN WINNER
Will Patrick Reed win the 2026 U.S. Open?
6.0¢
94.0¢
▸ Advanced metrics · M2M bundle
polymarket · 2026-us-open-winner-patrick-reed-win · fresh · feed 14s old24h sparkline · 60 pts▼ —
realized vol (ann.)
151.29%
max drawdown
9.76%
sharpe
—
ulcer index
6.95%
RMS drawdown
pain index
5.78%
mean drawdown
mod. VaR 95%
0.00%
Cornish-Fisher
martin ratio
—
ret / ulcer
CDaR 95%
9.76%
cond. drawdown
gain/pain
9.20
Σgain / Σ|loss|
sterling
—
ret / CDaR
omega (θ=0)
9.20
upside/downside
roll spread
29.6 bps
implied (price-only)
bars used
1267
store
spread
—
24h Δ
—
flow lean
—
carry
flat
signalNEUTRALconfidence 20%
Same bundle via M2M API:
/api/m2m/pm-2026-us-open-winner-patrick-reed-win/bundle · venue execution: polymarket →LIVEPOLL0SRCWARMING⏱--:--:-- UTCNEXT8.0sUP0s--:--HIST
▶ STREAMING·HYPERLIQUID·POLYMARKET·0 POLLS·SRC WARMING·UPTIME 0s·NEXT POLL 8.0s·CC0 OPEN DATA·HYPO.MARKETS·▶ STREAMING·HYPERLIQUID·POLYMARKET·0 POLLS·SRC WARMING·UPTIME 0s·NEXT POLL 8.0s·CC0 OPEN DATA·HYPO.MARKETS·
YES · live
6.0¢
NO · live
94.0¢
25 ticks · last 2.60¢
Σ 100.00% · fair
Σ-sides total = 100.00% (tight rounding)
H(p) entropy = 0.329 / 1.00 bits (33%) · informative — one side favoured
YES6.0%6.0¢16.53×▬ +0.00pp
NO94.0%94.0¢1.06×▬ +0.00pp
Σ 100.00% · arb gap 0.00pp
Σ 345bp moved · peak 115bp · n=24 ticks
14.3s
6.05¢ (6.05%)
93.95¢ (93.95%)
100.00%
0.000pp
$22.8k
$2.9k
25 ticks (live)
§1 · 24h price history (YES + NO tokens)
25 YES observations from clob.polymarket.com · last 2.60¢
25 NO observations from clob.polymarket.com · last 97.40¢
§2 · Distribution of Δp
n=24
reference line = identity (perfect normality). Heavy upper-right tail = fat positive tail.
§3 · Sample moments
SAMPLE MOMENTS · N=25LEPTOKURTIC · FAT TAILS (G₂=3.28)
FIVE-NUMBER SUMMARY · BOX PLOT
SKEWNESS · G₁1.926right-skewed
−3−10+1+3
EXCESS KURTOSIS · G₂3.279leptokurtic · fat tails
−30+2+4+6
μ = mean YES probability · σ = standard deviation · 95% CI = μ ± 1.96·SE. Skew/kurt diagnose departure from normality.
§5 · Time-series structure
TIME-SERIES STRUCTUREREGIME: MEAN-REVERTING · ρ(1) -0.39 + ADF rejected
HURST EXPONENT [0, 1]
H = 0.765STRONGLY PERSISTENT
0
anti-persistent0.45
mean-reverting0.5
random walk0.55
persistent1
strongly trending
anti-persistent0.45
mean-reverting0.5
random walk0.55
persistent1
strongly trending
AUTOCORRELATION FUNCTION · ρ(k) for k=1..5
OLS TREND · t-STAT · [-5, +5]
−5 reject−1.960 retain H₀+1.96+5 reject
ρ(k) = lag-k sample autocorrelation · H = R/S Hurst exponent · t = OLS-trend t-statistic. Significance bands at ±2/√n approximate the 95% white-noise envelope. α=0.05 critical |t|=1.96; α=0.01 |t|=2.58.
§6 · Microstructure
MICROSTRUCTURE · MARKET QUALITYPERFECT · ARB-FREE Σ=100.00%
TWO-SIDED PRICING
6.05¢
93.95¢
Σ-SIDES ARBITRAGE TEST
Σ = 100.00% · |1 − Σ| = 0.000pp
24H ACTIVITY · LIQUIDITY
Σ-sides = YES + NO implied probabilities. Perfect arb-free Σ = 100%. |1−Σ| > 2pp suggests synthetic outright arbitrage.
§7 · Position sizing & edge analysis
FAIR MARKET · no edge
Probability scale (YES)
Implied decimal odds
YES16.53×(6¢)NO1.06×(94¢)
Kelly bet-size (% of bankroll) K* = 0.00%
Entropy H(p̂) = 0.329 bits (33% of max) · informative — one side strongly favoured
Σ-sides = 100.00% · |1 − Σ| = 0.00pp · tight cross-venue rounding
K* full = (b·p − q)/b · ½K and ¼K are conservative fractions of the full-Kelly bet. Entropy in bits — log₂(2)=1 is maximum uncertainty for a binary market.
§8 · Time decay & θ projection
⏱ URGENCY · MEDIUMresolves 2026-06-21 00:00 UTC
2days
13hrs
08min
YES →$1.00
NO →$0.00
current: $0.0605 · expected return per side: $0.94 on YES hit · $0.06 on NO hit
Theta progression · θ ∝ σ / √t_remainingθ_now = 1.557 pp/day
now2.55d left1.557 pp/day×1.00
−25%1.91d left1.798 pp/day×1.15
−50%1.27d left2.203 pp/day×1.41
−75%15.28h left3.115 pp/day×2.00
−90%6.11h left4.925 pp/day×3.16
θ approximation: σ/√T (expected daily move magnitude). The cone shows ±√(p̂(1−p̂)) widening as time decays, funneling to {0, 1} at resolution. Theta accelerates as √(t_left)→0.
§9 · Hourly return heatmap
6 up bars · 3 down · best 1.15% · worst -1.05% · typical |Δ| 0.144%
§10 · Equity curve & underwater drawdown
final equity 1.0104 (1.04%) · max DD -1.05% · time-under-water 11/25 bars
§11 · Rolling-window statistics (w = 6 bars)
latest 29.163 · range [-31.08, 60.42] · μ 13.992 · positive Sharpe = excess-return-per-risk earned by buying-and-holding through this window
latest 30.04% · range [0.00%, 65.48%] · μ 25.45% · σ̂ scaled to annualised (×√8760)
latest -0.010 · |ρ| > 0.3 ⇒ regime with persistence (ρ > 0) or reversal (ρ < 0) · |ρ| ≤ 0.1 = consistent with random walk
§12 · Hypothesis tests (α = 0.05)
3 of 6 REJECT · mixed evidence3 reject·3 pass·α = 0.05
Jarque-Bera
REJECT H₀***H₀: Δp ~ Normal(μ, σ²)
STATISTIC
51.1001
p-VALUE (log scale)
< 0.0001
Ljung-Box(h=5)
FAIL TO REJECTnsH₀: No serial autocorrelation up to lag 5
STATISTIC
4.4516
p-VALUE (log scale)
0.4878
Dickey-Fuller (τ_μ)
FAIL TO REJECTnsH₀: p has a unit root (non-stationary)
STATISTIC
-2.8283
p-VALUE (log scale)
0.0555
Wald-Wolfowitz runs
FAIL TO REJECTnsH₀: Sign sequence of Δ is random
STATISTIC
0.0000
p-VALUE (log scale)
1.0000
KPSS (μ stationarity)
REJECT H₀*H₀: p IS level-stationary
STATISTIC
0.6845
p-VALUE (log scale)
0.0150
Variance ratio q=3
REJECT H₀*H₀: Δp is a random walk · VR = 1
STATISTIC
-2.0157
p-VALUE (log scale)
0.0438
Each row states an explicit null H₀, the test statistic, an approximated p-value, and the decision. REJECT means evidence against H₀. KPSS complements ADF (rejecting both ⇒ ambiguous; rejecting one ⇒ clean verdict).
§13 · Spectral analysis (DFT periodogram)
dominant period ≈ 2.18h (freq 0.458) · concentrates 23.9% of total energy · Σ|X̂|²/n = 1.545e-4
▸ Depth section using sovereign-store price series (1267 bars · effective 1752518 bars/year) — annualisation reflects native polling cadence, not upstream timeframes.
§14 · Honest position analytics
A binary-market analytics module framed in horizon time (days to resolution, not annualised). Estimators that need a model probability q as a first-class input (Kelly, KL divergence, Bayesian posterior, Mark-to-Market MC) only render when q is provided externally. Sweep an exploratory q at the interactive simulator →
§15 · Horizon returns
Horizon 2.5 d · σ/bar 0.114pp · expected |Δp| over horizon 0.89ppterminal variance p(1−p) = 0.0568 · n = 1267✓ n = 1267
μ per bar
+0.003pp
average Δp · drift
σ per bar
0.114pp
one-bar volatility · logit-free
Per-day movedaily
0.56pp
σ × √24
Per-horizon move3d
0.89pp
σ × √61.13938666666667
Terminal variancebinary
0.0568
p(1−p) at resolution
Current pricep
6.0¢
latest snapshot
Note: annualised Sharpe/Sortino are omitted — they are not meaningful for a bounded fixed-horizon binary contract that snaps to {0, 1} at resolution.
Annualised metrics are intentionally omitted — they don't apply to bounded probability series that resolve at a fixed date.
§16 · Tail risk
VaR₉₅ 0.18pp · ES₉₅ 0.23pp · method parametric · drift-correcteddrift +0.003pp/bar · quantised: yes · median step 0.05pp · unique ratio 0.01✓ n = 1267
VaR 95%
0.18pp
1.645·σ (parametric) of Δp
ES 95%
0.23pp
mean of the tail
Max drawdown
9.8pp
peak 2.1¢ → trough 1.8¢
Median step
0.05pp
price bucket granularity
Price series is bucketed (cent grid). Empirical quantiles collapse to grid points — parametric N(0, σ²) used instead.
Empirical quantiles unless the price series is bucketed (PM cent grid), in which case parametric N(0, σ²) is used to avoid grid collapse.
§17 · Odds conversion
Implied probabilityP
6.0%
= price
Decimal oddsEU
16.529
total return per $1
AmericanUS
+1553
$100 wins $1553
FractionalUK
15.53 / 1
profit per $1 risked
Profit per $100stake
+$1552.89
clean dollar framing
underdog (+)favorite (-)your price
Price → implied probability → decimal odds → American moneyline → fractional. Five views of the same number, plus the moneyline curve.
§18 · Binary entropy
Market entropyH(p)
0.329 bit
max 1.0 at p = 0.5
Your entropyH(q)
0.329 bit
Δ +0.000 bit vs market
Surprise · YES−log₂ p
4.05 bit
self-information
Surprise · NO−log₂(1−p)
0.09 bit
self-information
Market entropy only — model entropy requires an external q.
§19 · Model-dependent surfaces
External model required
The position-economics, Kelly, KL-divergence, Bayesian and Monte-Carlo surfaces require a model probability q as input — a number independent of the market price p.
The previous build defaulted q to a tape-momentum heuristic derived from p; that produces apparent edge that is structurally guaranteed to be small and is not a useful skill signal. The auto-derived path has been removed.
To explore these surfaces with a hypothetical q, open the interactive simulator and drag the MODEL P(YES) slider. To wire a real model, POST to the NOSTRADAMUS hook (TBD) or pass ?q=… on the simulator URL.
§∞ · Provenance & attestation
- Upstream (snapshot)
- gamma-api.polymarket.com
- Upstream (history)
- clob.polymarket.com
- YES token ID
82698293947391829960912828773347229485839853051105234282640754699899326067241- NO token ID
56562010913630507882543174122918148365775017371414972962541812967177232116255- Snapshot fetched
- 2026-06-18 10:51:23 UTC
- Snapshot age
- 14.3s
- History points
- 25 CLOB mids
- Page rendered
- 2026-06-18 10:51:38 UTC
- Storage policy
- no persistence — fetched on every request
- SHA-256 attestation
042fe1fc868265d131f3a4df29f6f0e353295ffa6ac9abe2fb139587c8857b32· deterministic hash of source snapshot- Open data licence
- CC0 / public domain
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Also see: /arb opportunities · RSS feed · more in PGA Tour: U.S. Open Winner
Market depth
▸ live order book · Polymarket YESDepth within 1bp
$0
bid $0 · ask $0
Depth within 5bp
$0
bid $0 · ask $0
Depth within 10bp
$0
bid $0 · ask $0
Depth within 50bp
$0
bid $0 · ask $0
Mid price
0.026000
(best bid + best ask) / 2
Spread
5384.6bp
(bestAsk − bestBid) / mid
Imbalance (whole book)
-0.867
ask-heavy
Imbalance (top-5)
+0.270
bid-heavy top-of-book
Slippage scenarios
▸ live book walk · Polymarket YESSimulating a market order at three notionals against the live book. Slippage = avg execution price vs. mid, in basis points. Worst fill = price of the deepest level touched. Live JSON: /api/asset/pm-2026-us-open-winner-patrick-reed-win/slippage?size=10000&side=buy
| Side | Notional | Avg fill | Slippage | Worst fill | Levels | Status |
|---|---|---|---|---|---|---|
| BUY | $1.00K | 0.279551 | 97519.62bp | 0.946000 | 9 | FILLED |
| BUY | $10.00K | 0.763889 | 283803.47bp | 0.946000 | 9 | FILLED |
| BUY | $100.00K | 0.948807 | 354925.93bp | 0.997000 | 12 | PARTIAL |
| SELL | $1.00K | 0.001357 | 9478.08bp | 0.001000 | 4 | PARTIAL |
| SELL | $10.00K | 0.001357 | 9478.08bp | 0.001000 | 4 | PARTIAL |
| SELL | $100.00K | 0.001357 | 9478.08bp | 0.001000 | 4 | PARTIAL |
Risk metrics
▸ sovereign store · 1,267 barsperiods/year ≈ 1.75MRealized vol (annualised)
4119.34%
σ per bar = 0.031117
Mean return (annualised)
156733.97%
μ per bar = 0.000894
Sharpe (rf=0)
38.05
annualised; risk-free assumed zero
Max drawdown
9.76%
peak 0.02 → trough 0.02 over 484 bars
/api/asset/pm-2026-us-open-winner-patrick-reed-win/risk · same metrics, JSON