POLYMARKET · PREDICTION MARKET · NETHERLANDS VS. JAPAN - MORE MARKETS

Netherlands vs. Japan: O/U 1.5

YES · live

72.5¢

NO · live

27.5¢

▸ Advanced metrics · M2M bundle

polymarket · fifwc-nld-jpn-2026-06-14-total-1pt5 · fresh · feed 0s old

24h sparkline · 60 pts▼ —

realized vol (ann.)

45.67%

max drawdown

1.36%

sharpe

—

ulcer index

1.25%

RMS drawdown

pain index

1.15%

mean drawdown

mod. VaR 95%

0.00%

Cornish-Fisher

martin ratio

—

ret / ulcer

CDaR 95%

1.36%

cond. drawdown

gain/pain

0.00

Σgain / Σ|loss|

sterling

—

ret / CDaR

omega (θ=0)

0.00

upside/downside

roll spread

0.3 bps

implied (price-only)

bars used

841

store

spread

—

24h Δ

—

flow lean

—

carry

flat

signalNEUTRALconfidence 20%

Same bundle via M2M API: /api/m2m/pm-fifwc-nld-jpn-2026-06-14-total-1pt5/bundle · venue execution: polymarket →

LIVEPOLL0SRCFRESH6ms⏱--:--:-- UTCNEXT8.0sUP0s--:--HIST0/30

▶ 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

72.5¢

NO · live

27.5¢

YES price · live 24h

25 ticks · last 72.50¢

YES / NO split · live

Σ 100.00% · fair

Σ-sides total = 100.00% (tight rounding)

H(p) entropy = 0.849 / 1.00 bits (85%) · high uncertainty

YES

72.5%72.5¢1.38×▬ +0.00pp

27.5%27.5¢3.64×▬ +0.00pp

Σ 100.00% · arb gap 0.00pp

Per-tick activity · |Δp| in basis points · live

Σ 500bp moved · peak 100bp · n=24 ticks

Live numerics · pulse on poll

LIVE NUMERICS8 metrics·POLL 0

⏱snapshot age

6ms

▲YES mid

72.50¢ (72.50%)

▼NO mid

27.50¢ (27.50%)

ΣΣ sides

100.00%

⚖arb gap

0.000pp

$24h vol $

$35.9k

≋liquidity $

$142.2k

◳history points

25 ticks (live)

§1 · 24h price history (YES + NO tokens)

YES price · CLOB mid

25 YES observations from clob.polymarket.com · last 72.50¢

NO price · CLOB mid

25 NO observations from clob.polymarket.com · last 27.50¢

§2 · Distribution of Δp

Histogram of hourly increments

n=24

Q-Q plot · standardised Δp vs N(0,1)

reference line = identity (perfect normality). Heavy upper-right tail = fat positive tail.

§3 · Sample moments

Descriptive statistics · 5-number summary · shape diagnostics

SAMPLE MOMENTS · N=25PLATYKURTIC · THIN TAILS (G₂=-1.55)

μ MEAN74.38¢95% CI: [73.90¢, 74.86¢]

σ STD DEV1.24ppσ² = 1.527 · CV = 1.66%

med MEDIAN74.50¢Q₁ 73.50¢ · Q₃ 75.50¢

FIVE-NUMBER SUMMARY · BOX PLOTrange 3.00pp · IQR 2.00pp (1.349σ→1.67pp)

SKEWNESS · G₁-0.419approximately symmetric

−3−10+1+3

EXCESS KURTOSIS · G₂-1.553platykurtic · thin tails

−30+2+4+6

μ ↔ median≈ equal · symmetric|μ−med| / σ = 0.10

σ × 1.349 ↔ IQRconsistent with normalratio = 0.83

range ↔ σconcentrated (range < 4σ)range / σ = 2.43

μ = mean YES probability · σ = standard deviation · 95% CI = μ ± 1.96·SE. Skew/kurt diagnose departure from normality.

§5 · Time-series structure

Regime & autocorrelation diagnostics

TIME-SERIES STRUCTUREREGIME: MEAN-REVERTING · ρ(1) -0.52 + ADF rejected

ρ(1) AUTOCORR-0.517negative · reversal

ρ(2) AUTOCORR+0.345lag-2 not significant

H · HURST EXPONENT1.130strongly persistent

OLS TREND · t-STAT-11.724significant @ α=0.05

HURST EXPONENT [0, 1]strongly persistent · H = 1.130

H = 1.130STRONGLY PERSISTENT

0
anti-persistent0.45
mean-reverting0.5
random walk0.55
persistent1
strongly trending

AUTOCORRELATION FUNCTION · ρ(k) for k=1..51 SIGNIFICANT LAG · k=1

OLS TREND · t-STAT · [-5, +5]SIGNIFICANT @ 1% (|t|=11.72)

−5 reject−1.960 retain H₀+1.96+5 reject

REGIME CLASSIFICATIONMEAN-REVERTING · ρ(1) -0.52 + ADF rejectedfrom Hurst + ρ(1) joint diagnosis

PREDICTABILITY · score 1.00very high · strong structure|ρ(1)| + 2·|H − 0.5| heuristic

TREND SIGNIFICANCESIGNIFICANT @ 1% (|t|=11.72)α=0.05 critical |t|=1.96 · α=0.01 |t|=2.58

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

Market quality · two-sided pricing · activity

MICROSTRUCTURE · MARKET QUALITYPERFECT · ARB-FREE Σ=100.00%

MARKET ID2326746

SLUGfifwc-nld-jpn-2026-06-14-total-1pt5

CATEGORYNetherlands vs. Japan - More Markets

TWO-SIDED PRICINGFAVOURS YES (73¢)

PRIMARY · YES72.50¢implied prob 72.50% · decimal odds 1.38×

COUNTER · NO27.50¢implied prob 27.50% · decimal odds 3.64×

72.50¢

27.50¢

Σ-SIDES ARBITRAGE TESTPERFECT · ARB-FREE Σ=100.00%

0%50%100% · target110%

Σ = 100.00% · |1 − Σ| = 0.000pp

24H ACTIVITY · LIQUIDITYACTIVE

24H VOLUME35.86k USD 24h

LIQUIDITY142.22k USD

MARKET QUALITYPERFECT · ARB-FREE Σ=100.00%|1−Σ| ≤ 0.5pp ⇒ fair · > 2pp ⇒ inefficient

PRICING SKEWFAVOURS YES (73¢)|primary − counter| = 0.450 · entropy 0.849 bits

LIQUIDITY DEPTHACTIVE100k+ deep · 10k+ active · 1k+ modest · 100+ thin

Σ-sides = YES + NO implied probabilities. Perfect arb-free Σ = 100%. |1−Σ| > 2pp suggests synthetic outright arbitrage.

§7 · Position sizing & edge analysis

Probability split · YES vs NO · Kelly · entropy · arbitrage

FAIR MARKET · no edge

Probability scale (YES)

0%25%50%
fair75%100%

Implied decimal odds

YES1.38×(73¢)NO3.64×(28¢)

Kelly bet-size (% of bankroll) K* = 0.00%

K* full

0.00%

½K half

0.00%

¼K quarter

0.00%

Entropy H(p̂) = 0.849 bits (85% of max) · high uncertainty

0 (certain)0.250.50.751.00 (max)

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

Time decay & theta projection

⏱ URGENCY · VERY HIGHresolves 2026-06-14 20:00 UTC

0days

03hrs

03min

YES →$1.00(P = 72.5%)

NO →$0.00(P = 27.5%)

current: $0.7250 · expected return per side: $0.28 on YES hit · $0.72 on NO hit

Theta progression · θ ∝ σ / √t_remainingθ_now = 6.053 pp/day

now3.05h left

6.053 pp/day×1.00

−25%2.29h left

6.990 pp/day×1.15

−50%1.53h left

8.560 pp/day×1.41

−75%0.76h left

12.106 pp/day×2.00

−90%0.31h left

19.142 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

24-hour signed Δp grid · green = up · red = down

1 up bars · 4 down · best 1.00% · worst -1.00% · typical |Δ| 0.208%

§10 · Equity curve & underwater drawdown

Cumulative compounded return + running peak-to-trough

final equity 0.9702 (-2.98%) · max DD -2.98% · time-under-water 13/25 bars

§11 · Rolling-window statistics (w = 6 bars)

Rolling annualised Sharpe ratio · green positive · red negative

latest -38.210 · range [-60.42, 0.00] · μ -24.799 · positive Sharpe = excess-return-per-risk earned by buying-and-holding through this window

Rolling annualised volatility (%)

latest 38.21% · range [0.00%, 76.42%] · μ 38.02% · σ̂ scaled to annualised (×√8760)

Rolling lag-1 autocorrelation ρ(1)

latest -0.233 · |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)

Formal inference at 5% significance

2 of 5 REJECT · mixed evidence2 reject·3 pass·1 n/a·α = 0.05

𝒩

Jarque-Bera

FAIL TO REJECTns

H₀: Δp ~ Normal(μ, σ²)

STATISTIC

5.9802

p-VALUE (log scale)

0.0503

10⁻⁴10⁻³10⁻²10⁻¹1

Ljung-Box(h=5)

REJECT H₀**

H₀: No serial autocorrelation up to lag 5

STATISTIC

19.6943

p-VALUE (log scale)

0.0015

10⁻⁴10⁻³10⁻²10⁻¹1

Dickey-Fuller (τ_μ)

FAIL TO REJECTns

H₀: p has a unit root (non-stationary)

STATISTIC

-0.4292

p-VALUE (log scale)

0.9015

10⁻⁴10⁻³10⁻²10⁻¹1

Wald-Wolfowitz runs

N/An/a

H₀: Sign sequence of Δ is random

STATISTIC

—

p-VALUE (log scale)

—

KPSS (μ stationarity)

REJECT H₀**

H₀: p IS level-stationary

STATISTIC

0.8500

p-VALUE (log scale)

0.0054

10⁻⁴10⁻³10⁻²10⁻¹1

Variance ratio q=3

FAIL TO REJECTns

H₀: Δp is a random walk · VR = 1

STATISTIC

-1.3879

p-VALUE (log scale)

0.1652

10⁻⁴10⁻³10⁻²10⁻¹1

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)

Power spectrum of Δp · ‖X̂(k)‖²/n

dominant period ≈ 2.00h (freq 0.500) · concentrates 36.8% of total energy · Σ|X̂|²/n = 2.833e-4

▸ Depth section using sovereign-store price series (841 bars · effective 1753005 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

Returns · per bar / per day / per horizon

Horizon 0.3 d · σ/bar 0.035pp · expected |Δp| over horizon 0.08ppterminal variance p(1−p) = 0.1994 · n = 841✓ n = 841

μ per bar

-0.001pp

average Δp · drift

σ per bar

0.035pp

one-bar volatility · logit-free

Per-day movedaily

0.17pp

σ × √24

Per-horizon move0d

0.08pp

σ × √6

Terminal variancebinary

0.1994

p(1−p) at resolution

Current pricep

72.5¢

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

VaR · ES · max drawdown

VaR₉₅ 0.06pp · ES₉₅ 0.07pp · method parametric · drift-correcteddrift -0.001pp/bar · quantised: yes · median step 1.00pp · unique ratio 0.00✓ n = 841

VaR 95%

0.06pp

1.645·σ (parametric) of Δp

ES 95%

0.07pp

mean of the tail

Max drawdown

1.4pp

peak 73.5¢ → trough 72.5¢

Median step

1.00pp

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

Odds conversion · every dialect a bettor thinks in

Implied probabilityP

72.5%

= price

Decimal oddsEU

1.379

total return per $1

AmericanUS

-264

risk $264 to win $100

FractionalUK

0.38 / 1

profit per $1 risked

Profit per $100stake

+$37.93

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

Binary entropy · uncertainty as bits of information

Market entropyH(p)

0.849 bit

max 1.0 at p = 0.5

Your entropyH(q)

0.849 bit

Δ +0.000 bit vs market

Surprise · YES−log₂ p

0.46 bit

self-information

Surprise · NO−log₂(1−p)

1.86 bit

self-information

Market entropy only — model entropy requires an external q.

§19 · Model-dependent surfaces

§ Edge / Kelly / KL · no model probability provided

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: 108982606124521441555892244668600115903961964893992422824134526561297570179989
NO token ID: 33482040162180180236502846842474486129229517895483670128800511336884499577608
Snapshot fetched: 2026-06-14 16:56:47 UTC
Snapshot age: 6ms
History points: 25 CLOB mids
Page rendered: 2026-06-14 16:56:47 UTC
Storage policy: no persistence — fetched on every request
SHA-256 attestation: e8fe1dae1527f94a170d6de45eba5b9f8ad624633213e79397d37d10cdc58ded · deterministic hash of source snapshot
Open data licence: CC0 / public domain

§∞-2 · Related markets · explore more

HL PREDGermany94.0¢HL PREDSpain89.5¢HL PREDUruguay66.9¢POLYMARKETWill Australia win the 2026 FIFA World Cup?0¢POLYMARKETWill Scotland win the 2026 FIFA World Cup?0¢POLYMARKETUS x Iran permanent peace deal by June 15, 2026?21¢HL PERPBTC-USD perpetual$63,935.5 HL PERPETH-USD perpetual$1,660.75 HL PERPHYPE-USD perpetual$60.05

Also see: /arb opportunities · RSS feed · more in Netherlands vs. Japan - More Markets

Market depth

▸ live order book · Polymarket YES

Depth within 1bp

bid $0 · ask $0

Depth within 5bp

bid $0 · ask $0

Depth within 10bp

bid $0 · ask $0

Depth within 50bp

bid $0 · ask $0

Mid price

0.725000

(best bid + best ask) / 2

Spread

137.9bp

(bestAsk − bestBid) / mid

Imbalance (whole book)

-0.150

ask-heavy

Imbalance (top-5)

+0.008

bid-heavy top-of-book

Slippage scenarios

▸ live book walk · Polymarket YES

Simulating 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-fifwc-nld-jpn-2026-06-14-total-1pt5/slippage?size=10000&side=buy

Side	Notional	Avg fill	Slippage	Worst fill	Levels	Status
BUY	$1.00K	0.730000	68.97bp	0.730000	1	FILLED
BUY	$10.00K	0.738412	185.00bp	0.740000	2	FILLED
BUY	$100.00K	0.751716	368.49bp	0.870000	14	FILLED
SELL	$1.00K	0.720000	68.97bp	0.720000	1	FILLED
SELL	$10.00K	0.720000	68.97bp	0.720000	1	FILLED
SELL	$100.00K	0.396814	4526.70bp	0.010000	42	PARTIAL

Risk metrics

▸ sovereign store · 841 barsperiods/year ≈ 1.75M

Realized vol (annualised)

62.58%

σ per bar = 0.000473

Mean return (annualised)

-2858.83%

μ per bar = -0.000016

Sharpe (rf=0)

-45.68

annualised; risk-free assumed zero

Max drawdown

1.36%

peak 0.73 → trough 0.72 over 128 bars

/api/asset/pm-fifwc-nld-jpn-2026-06-14-total-1pt5/risk · same metrics, JSON