POLYMARKET · PREDICTION MARKET · NETHERLANDS VS. JAPAN - MORE MARKETS
Netherlands vs. Japan: O/U 4.5
12.5¢
87.5¢
▸ Advanced metrics · M2M bundle
polymarket · fifwc-nld-jpn-2026-06-14-total-4pt5 · fresh · feed 0s old24h sparkline · 60 pts▼ —
realized vol (ann.)
1154.73%
max drawdown
87.39%
sharpe
—
ulcer index
60.24%
RMS drawdown
pain index
49.29%
mean drawdown
mod. VaR 95%
0.00%
Cornish-Fisher
martin ratio
—
ret / ulcer
CDaR 95%
87.39%
cond. drawdown
gain/pain
1.51
Σgain / Σ|loss|
sterling
—
ret / CDaR
omega (θ=0)
1.51
upside/downside
roll spread
56.3 bps
implied (price-only)
bars used
300
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-4pt5/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
12.5¢
NO · live
87.5¢
25 ticks · last 13.50¢
Σ 100.00% · fair
Σ-sides total = 100.00% (tight rounding)
H(p) entropy = 0.544 / 1.00 bits (54%) · moderate uncertainty
YES12.5%12.5¢8.00×▬ +0.00pp
NO87.5%87.5¢1.14×▬ +0.00pp
Σ 100.00% · arb gap 0.00pp
Σ 2610bp moved · peak 1205bp · n=24 ticks
10ms
12.50¢ (12.50%)
87.50¢ (87.50%)
100.00%
0.000pp
$345.1k
$75.9k
25 ticks (live)
§1 · 24h price history (YES + NO tokens)
25 YES observations from clob.polymarket.com · last 13.50¢
25 NO observations from clob.polymarket.com · last 87.20¢
§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=14.29)
FIVE-NUMBER SUMMARY · BOX PLOT
SKEWNESS · G₁-3.724left-skewed
−3−10+1+3
EXCESS KURTOSIS · G₂14.292leptokurtic · 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) -0.48 + ADF rejected
HURST EXPONENT [0, 1]
H = 0.463RANDOM-WALK
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
12.50¢
87.50¢
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
YES8.00×(13¢)NO1.14×(88¢)
Kelly bet-size (% of bankroll) K* = 0.00%
Entropy H(p̂) = 0.544 bits (54% of max) · moderate uncertainty
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.
§9 · Hourly return heatmap
3 up bars · 4 down · best 12.05% · worst -10.05% · typical |Δ| 1.088%
§10 · Equity curve & underwater drawdown
final equity 0.9977 (-0.23%) · max DD -10.96% · time-under-water 16/25 bars
§11 · Rolling-window statistics (w = 6 bars)
latest 6.676 · range [-55.93, 6.68] · μ -16.639 · positive Sharpe = excess-return-per-risk earned by buying-and-holding through this window
latest 656.11% · range [0.00%, 656.11%] · μ 86.62% · σ̂ scaled to annualised (×√8760)
latest -0.475 · |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)
4 of 6 REJECT · mixed evidence4 reject·2 pass·α = 0.05
Jarque-Bera
REJECT H₀***H₀: Δp ~ Normal(μ, σ²)
STATISTIC
135.7525
p-VALUE (log scale)
< 0.0001
Ljung-Box(h=5)
FAIL TO REJECTnsH₀: No serial autocorrelation up to lag 5
STATISTIC
6.5533
p-VALUE (log scale)
0.2551
Dickey-Fuller (τ_μ)
REJECT H₀***H₀: p has a unit root (non-stationary)
STATISTIC
-5.1159
p-VALUE (log scale)
< 0.0001
Wald-Wolfowitz runs
FAIL TO REJECTnsH₀: Sign sequence of Δ is random
STATISTIC
1.3339
p-VALUE (log scale)
0.1822
KPSS (μ stationarity)
REJECT H₀*H₀: p IS level-stationary
STATISTIC
0.5554
p-VALUE (log scale)
0.0292
Variance ratio q=3
REJECT H₀**H₀: Δp is a random walk · VR = 1
STATISTIC
-2.7724
p-VALUE (log scale)
0.0056
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 ≈ 2.00h (freq 0.500) · concentrates 17.7% of total energy · Σ|X̂|²/n = 1.369e-2
▸ Depth section using sovereign-store price series (300 bars · effective 1752908 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 0.3 d · σ/bar 0.872pp · expected |Δp| over horizon 2.14ppterminal variance p(1−p) = 0.1384 · n = 300✓ n = 300
μ per bar
+0.017pp
average Δp · drift
σ per bar
0.872pp
one-bar volatility · logit-free
Per-day movedaily
4.27pp
σ × √24
Per-horizon move0d
2.14pp
σ × √6
Terminal variancebinary
0.1384
p(1−p) at resolution
Current pricep
16.6¢
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 1.42pp · ES₉₅ 1.78pp · method parametric · drift-correcteddrift +0.017pp/bar · quantised: yes · median step 3.40pp · unique ratio 0.02✓ n = 300
VaR 95%
1.42pp
1.645·σ (parametric) of Δp
ES 95%
1.78pp
mean of the tail
Max drawdown
87.4pp
peak 11.5¢ → trough 1.5¢
Median step
3.40pp
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
12.5%
= price
Decimal oddsEU
8.000
total return per $1
AmericanUS
+700
$100 wins $700
FractionalUK
7.00 / 1
profit per $1 risked
Profit per $100stake
+$700.00
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)
0.544 bit
max 1.0 at p = 0.5
Your entropyH(q)
0.544 bit
Δ +0.000 bit vs market
Surprise · YES−log₂ p
3.00 bit
self-information
Surprise · NO−log₂(1−p)
0.19 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
21270059274356723184859211087973543261532798170843535430868969899302337429599- NO token ID
39697686955649717266004278469277461701892885942736755182619474184408570518853- Snapshot fetched
- 2026-06-14 21:37:17 UTC
- Snapshot age
- 10ms
- History points
- 25 CLOB mids
- Page rendered
- 2026-06-14 21:37:17 UTC
- Storage policy
- no persistence — fetched on every request
- SHA-256 attestation
b6e0382a8187760a3b7ad9f9b9c06a6609a266b9d41297675e229ba3ee0121b0· deterministic hash of source snapshot- Open data licence
- CC0 / public domain
§∞-2 · Related markets · explore more
HL PREDGermany100.0¢HL PREDSpain90.8¢HL PREDNetherlands77.9¢POLYMARKETWill Netherlands win on 2026-06-14?79¢POLYMARKETWill Australia win the 2026 FIFA World Cup?0¢POLYMARKETUS x Iran permanent peace deal by June 15, 2026?66¢HL PERPBTC-USD perpetual$64,883HL PERPETH-USD perpetual$1,704.8HL PERPHYPE-USD perpetual$61.89
Also see: /arb opportunities · RSS feed · more in Netherlands vs. Japan - More Markets
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
0.125000
(best bid + best ask) / 2
Spread
800.0bp
(bestAsk − bestBid) / mid
Imbalance (whole book)
-0.317
ask-heavy
Imbalance (top-5)
+0.211
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-fifwc-nld-jpn-2026-06-14-total-4pt5/slippage?size=10000&side=buy
| Side | Notional | Avg fill | Slippage | Worst fill | Levels | Status |
|---|---|---|---|---|---|---|
| BUY | $1.00K | 0.141083 | 1286.64bp | 0.160000 | 7 | FILLED |
| BUY | $10.00K | 0.269415 | 11553.23bp | 0.610000 | 27 | FILLED |
| BUY | $100.00K | 0.744670 | 49573.58bp | 0.960000 | 37 | FILLED |
| SELL | $1.00K | 0.112079 | 1033.70bp | 0.110000 | 6 | FILLED |
| SELL | $10.00K | 0.053958 | 5683.32bp | 0.001000 | 26 | PARTIAL |
| SELL | $100.00K | 0.053958 | 5683.32bp | 0.001000 | 26 | PARTIAL |
Risk metrics
▸ sovereign store · 300 barsperiods/year ≈ 1.75MRealized vol (annualised)
17300.47%
σ per bar = 0.130671
Mean return (annualised)
215188.88%
μ per bar = 0.001228
Sharpe (rf=0)
12.44
annualised; risk-free assumed zero
Max drawdown
87.39%
peak 0.12 → trough 0.01 over 185 bars
/api/asset/pm-fifwc-nld-jpn-2026-06-14-total-4pt5/risk · same metrics, JSON