POLYMARKET · PREDICTION MARKET · SPORTS
Will Neymar play in the World Cup?
90.0¢
10.0¢
▸ Advanced metrics · M2M bundle
polymarket · will-neymar-play-in-the-world-cup · fresh · feed 0s old24h sparkline · 60 pts▲ 4.05%
realized vol (ann.)
57.34%
max drawdown
2.76%
sharpe
—
ulcer index
1.77%
RMS drawdown
pain index
1.65%
mean drawdown
mod. VaR 95%
0.00%
Cornish-Fisher
martin ratio
—
ret / ulcer
CDaR 95%
2.76%
cond. drawdown
gain/pain
0.80
Σgain / Σ|loss|
sterling
—
ret / CDaR
omega (θ=0)
0.80
upside/downside
roll spread
0.1 bps
implied (price-only)
bars used
2000
store
spread
—
24h Δ
4.05%
flow lean
—
carry
flat
signalNEUTRALconfidence 25%
- 24h change +4.05%
Same bundle via M2M API:
/api/m2m/pm-will-neymar-play-in-the-world-cup/bundle · venue execution: polymarket →LIVEPOLL0SRCFRESH⏱--:--:-- UTCNEXT8.0sUP0s--:--HIST
▶ STREAMING·HYPERLIQUID·POLYMARKET·0 POLLS·SRC FRESH·UPTIME 0s·NEXT POLL 8.0s·CC0 OPEN DATA·HYPO.MARKETS·▶ STREAMING·HYPERLIQUID·POLYMARKET·0 POLLS·SRC FRESH·UPTIME 0s·NEXT POLL 8.0s·CC0 OPEN DATA·HYPO.MARKETS·
YES · live
90.0¢
NO · live
10.0¢
25 ticks · last 89.50¢
Σ 100.00% · fair
Σ-sides total = 100.00% (tight rounding)
H(p) entropy = 0.469 / 1.00 bits (47%) · informative — one side favoured
YES90.0%90.0¢1.11×▬ +0.00pp
NO10.0%10.0¢10.00×▬ +0.00pp
Σ 100.00% · arb gap 0.00pp
Σ 900bp moved · peak 200bp · n=24 ticks
14ms
90.00¢ (90.00%)
10.00¢ (10.00%)
100.00%
0.000pp
$42.4k
$30.6k
25 ticks (live)
§1 · 24h price history (YES + NO tokens)
25 YES observations from clob.polymarket.com · last 89.50¢
25 NO observations from clob.polymarket.com · last 10.50¢
§2 · Distribution of Δp
n=24
reference line = identity (perfect normality). Heavy upper-right tail = fat positive tail.
§3 · Sample moments
SAMPLE MOMENTS · N=25PLATYKURTIC · THIN TAILS (G₂=-1.35)
FIVE-NUMBER SUMMARY · BOX PLOT
SKEWNESS · G₁0.024approximately symmetric
−3−10+1+3
EXCESS KURTOSIS · G₂-1.347platykurtic · thin 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: MARTINGALE · UNPREDICTABLE
HURST EXPONENT [0, 1]
H = 1.025STRONGLY 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
90.00¢
10.00¢
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
YES1.11×(90¢)NO10.00×(10¢)
Kelly bet-size (% of bankroll) K* = 0.00%
Entropy H(p̂) = 0.469 bits (47% 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 · DISTANTresolves 2026-07-19 00:00 UTC
34days
07hrs
51min
YES →$1.00
NO →$0.00
current: $0.9000 · expected return per side: $0.10 on YES hit · $0.90 on NO hit
Theta progression · θ ∝ σ / √t_remainingθ_now = 5.181 pp/day
now34.33d left5.181 pp/day×1.00
−25%25.75d left5.982 pp/day×1.15
−50%17.16d left7.327 pp/day×1.41
−75%8.58d left10.361 pp/day×2.00
−90%3.43d left16.383 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
4 up bars · 4 down · best 2.00% · worst -1.00% · typical |Δ| 0.375%
§10 · Equity curve & underwater drawdown
final equity 1.0196 (1.96%) · max DD -1.99% · time-under-water 13/25 bars
§11 · Rolling-window statistics (w = 6 bars)
latest 22.835 · range [-60.42, 44.62] · μ -2.475 · positive Sharpe = excess-return-per-risk earned by buying-and-holding through this window
latest 63.94% · range [38.21%, 98.16%] · μ 62.86% · σ̂ scaled to annualised (×√8760)
latest -0.440 · |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)
1 of 6 REJECT · mixed evidence1 reject·5 pass·α = 0.05
Jarque-Bera
REJECT H₀*H₀: Δp ~ Normal(μ, σ²)
STATISTIC
7.9494
p-VALUE (log scale)
0.0188
Ljung-Box(h=5)
FAIL TO REJECTnsH₀: No serial autocorrelation up to lag 5
STATISTIC
3.6453
p-VALUE (log scale)
0.6039
Dickey-Fuller (τ_μ)
FAIL TO REJECTnsH₀: p has a unit root (non-stationary)
STATISTIC
-1.9124
p-VALUE (log scale)
0.3370
Wald-Wolfowitz runs
FAIL TO REJECTnsH₀: Sign sequence of Δ is random
STATISTIC
0.7638
p-VALUE (log scale)
0.4450
KPSS (μ stationarity)
FAIL TO REJECTnsH₀: p IS level-stationary
STATISTIC
0.3287
p-VALUE (log scale)
0.1320
Variance ratio q=3
FAIL TO REJECTnsH₀: Δp is a random walk · VR = 1
STATISTIC
-0.6530
p-VALUE (log scale)
0.5137
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 ≈ 3.00h (freq 0.333) · concentrates 25.5% of total energy · Σ|X̂|²/n = 5.688e-4
▸ Depth section using sovereign-store price series (3811 bars · effective 1752810 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 34.3 d · σ/bar 0.057pp · expected |Δp| over horizon 1.63ppterminal variance p(1−p) = 0.0900 · n = 3811✓ n = 3811
μ per bar
+0.001pp
average Δp · drift
σ per bar
0.057pp
one-bar volatility · logit-free
Per-day movedaily
0.28pp
σ × √24
Per-horizon move34d
1.63pp
σ × √823.8582152777778
Terminal variancebinary
0.0900
p(1−p) at resolution
Current pricep
90.0¢
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 0.09pp · ES₉₅ 0.12pp · method parametric · drift-correcteddrift +0.001pp/bar · quantised: yes · median step 0.50pp · unique ratio 0.00✓ n = 3811
VaR 95%
0.09pp
1.645·σ (parametric) of Δp
ES 95%
0.12pp
mean of the tail
Max drawdown
2.8pp
peak 90.5¢ → trough 88.0¢
Median step
0.50pp
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
90.0%
= price
Decimal oddsEU
1.111
total return per $1
AmericanUS
-900
risk $900 to win $100
FractionalUK
0.11 / 1
profit per $1 risked
Profit per $100stake
+$11.11
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)
0.469 bit
max 1.0 at p = 0.5
Your entropyH(q)
0.469 bit
Δ +0.000 bit vs market
Surprise · YES−log₂ p
0.15 bit
self-information
Surprise · NO−log₂(1−p)
3.32 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
80207472021384297118973019586454872993681152265019994763786199494584900056700- NO token ID
107098542201783055920424291421395338045200803098880539507226838033025467884946- Snapshot fetched
- 2026-06-14 16:08:30 UTC
- Snapshot age
- 14ms
- History points
- 25 CLOB mids
- Page rendered
- 2026-06-14 16:08:30 UTC
- Storage policy
- no persistence — fetched on every request
- SHA-256 attestation
d4fb59bc20c97277d75db87e267d8179e7c7e0cd19e58b83990c84b268ac7ed7· deterministic hash of source snapshot- Open data licence
- CC0 / public domain
§∞-2 · Related markets · explore more
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Also see: /arb opportunities · RSS feed · more in Sports
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
0.895000
(best bid + best ask) / 2
Spread
111.7bp
(bestAsk − bestBid) / mid
Imbalance (whole book)
-0.134
ask-heavy
Imbalance (top-5)
-0.013
ask-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-will-neymar-play-in-the-world-cup/slippage?size=10000&side=buy
| Side | Notional | Avg fill | Slippage | Worst fill | Levels | Status |
|---|---|---|---|---|---|---|
| BUY | $1.00K | 0.900000 | 55.87bp | 0.900000 | 1 | FILLED |
| BUY | $10.00K | 0.908294 | 148.54bp | 0.920000 | 3 | FILLED |
| BUY | $100.00K | 0.951963 | 636.45bp | 0.990000 | 10 | PARTIAL |
| SELL | $1.00K | 0.890000 | 55.87bp | 0.890000 | 1 | FILLED |
| SELL | $10.00K | 0.885229 | 109.17bp | 0.880000 | 2 | FILLED |
| SELL | $100.00K | 0.495151 | 4467.59bp | 0.010000 | 37 | PARTIAL |
Risk metrics
▸ sovereign store · 3,811 barsperiods/year ≈ 1.75MRealized vol (annualised)
84.70%
σ per bar = 0.000640
Mean return (annualised)
1824.82%
μ per bar = 0.000010
Sharpe (rf=0)
21.54
annualised; risk-free assumed zero
Max drawdown
2.76%
peak 0.91 → trough 0.88 over 2615 bars
/api/asset/pm-will-neymar-play-in-the-world-cup/risk · same metrics, JSON