HYPERLIQUID · HIP-3 PREDICTION MARKET · OUTCOME #459

Draw

Primary · Yes

22.1¢

Counter · No

77.9¢

▸ Advanced metrics · M2M bundle

hyperliquid · pred-draw-459 · fresh · feed 5s old

24h sparkline · 60 pts▼ —

realized vol (ann.)

36.36%

max drawdown

1.30%

sharpe

—

ulcer index

1.19%

RMS drawdown

pain index

1.10%

mean drawdown

mod. VaR 95%

0.00%

Cornish-Fisher

martin ratio

—

ret / ulcer

CDaR 95%

1.30%

cond. drawdown

gain/pain

0.93

Σgain / Σ|loss|

sterling

—

ret / CDaR

omega (θ=0)

0.93

upside/downside

roll spread

10.1 bps

implied (price-only)

bars used

629

store

spread

—

24h Δ

—

flow lean

—

carry

flat

signalNEUTRALconfidence 20%

Same bundle via M2M API: /api/m2m/hl-pred-draw-459/bundle · venue execution: hyperliquid →

LIVEPOLL0SRCFRESH4.7s⏱--:--:-- 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 mid · live

22.1¢

No mid · live

77.9¢

Yes · live 24h price

22 bars · close 22.64¢ · 24h -1.03%

Probability split · live

Σ 100.00% · fair

Σ-sides total = 100.00% (tight rounding)

H(p) entropy = 0.763 / 1.00 bits (76%) · moderate uncertainty

Yes

22.1%22.1¢4.52×▬ +0.00pp

77.9%77.9¢1.28×▬ +0.00pp

primary vs counter implied %

Volume · per-hour contracts · live

Σ 255 · peak 110

Live numerics · pulse on poll

LIVE NUMERICS8 metrics·POLL 0

⏱snapshot age

4.7s

▲Yes mid

22.143¢

▼No mid

77.858¢

ΣΣ sides

100.00%

Σarb gap |1 − Σ|

0.00pp

Δ24h candles

22 bars

Δ24h close

22.64¢

Δ24h change

-1.03%

§1 · 24h time-series

Mid price · Yes (22 hourly observations)

range [22.64¢, 22.88¢] · span 0.24pp · MA(5) latest 22.65¢

Candlestick · open / high / low / close per hour

22 bars · last close 22.64¢

Hourly traded contracts

Σ vol = 255 · peak 110 · mean 11.6

§2 · Distribution of one-bar increments Δp = pₜ − pₜ₋₁

Histogram of Δp

n=21 · positive 0 · negative 3

Q-Q plot · standardised Δp vs N(0,1)

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

§3 · Sample moments (prices)

Descriptive statistics · 5-number summary · shape diagnostics

SAMPLE MOMENTS · N=22LEFT-SKEWED (G₁=-0.74)

μ MEAN22.81¢95% CI: [22.77¢, 22.85¢]

σ STD DEV0.11ppσ² = 0.011 · CV = 0.46%

med MEDIAN22.88¢Q₁ 22.66¢ · Q₃ 22.88¢

FIVE-NUMBER SUMMARY · BOX PLOTrange 0.24pp · IQR 0.22pp (1.349σ→0.14pp)

SKEWNESS · G₁-0.738left-skewed

−3−10+1+3

EXCESS KURTOSIS · G₂-1.505platykurtic · thin tails

−30+2+4+6

μ ↔ medianμ < med · left-tailed|μ−med| / σ = 0.67

σ × 1.349 ↔ IQRdiverges from normalratio = 0.66

range ↔ σconcentrated (range < 4σ)range / σ = 2.23

μ = mean · σ = standard deviation · CV = coefficient of variation · skew (G₁): >0 right-tail · kurt (G₂, excess): >0 leptokurtic. 95% CI uses 1.96·SE around μ. σ × 1.349 ≈ IQR under normality.

§6 · Time-series structure

Regime & autocorrelation diagnostics

TIME-SERIES STRUCTUREREGIME: INDETERMINATE · weak signal at n=21

ρ(1) AUTOCORR+0.067within white-noise band

ρ(2) AUTOCORR-0.075lag-2 not significant

H · HURST EXPONENT1.409strongly persistent

OLS TREND · t-STAT-6.273significant @ α=0.05

HURST EXPONENT [0, 1]strongly persistent · H = 1.409

H = 1.409STRONGLY PERSISTENT

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

AUTOCORRELATION FUNCTION · ρ(k) for k=1..5WHITE NOISE · no significant lags

OLS TREND · t-STAT · [-5, +5]SIGNIFICANT @ 1% (|t|=6.27)

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

REGIME CLASSIFICATIONINDETERMINATE · weak signal at n=21from Hurst + ρ(1) joint diagnosis

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

TREND SIGNIFICANCESIGNIFICANT @ 1% (|t|=6.27)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.

§7 · Microstructure

Market quality · two-sided pricing · activity

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

OUTCOME ID#459

SLUGdraw-459

QUOTE TOKENUSDC

TWO-SIDED PRICINGFAVOURS NO (78¢)

PRIMARY · YES22.14¢implied prob 22.14% · decimal odds 4.52×

COUNTER · NO77.86¢implied prob 77.86% · decimal odds 1.28×

22.14¢

77.86¢

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

0%50%100% · target110%

Σ = 100.00% · |1 − Σ| = 0.000pp

24H ACTIVITY · LIQUIDITYTHIN

24H VOLUME255 contracts

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

PRICING SKEWFAVOURS NO (78¢)|primary − counter| = 0.557 · entropy 0.763 bits

LIQUIDITY DEPTHTHIN100k+ deep · 10k+ active · 1k+ modest · 100+ thin

Σ-sides = primary + counter implied probabilities. Perfect arb-free Σ = 100%. |1−Σ| > 2pp suggests synthetic outright arbitrage.

§8 · Position sizing & edge analysis

Yes vs No · Kelly · entropy · arbitrage

FAIR MARKET · no edge

Probability scale (Yes)

0%25%50%
fair75%100%

Implied decimal odds

Yes4.52×(22¢)No1.28×(78¢)

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

K* full

0.00%

½K half

0.00%

¼K quarter

0.00%

Entropy H(p̂) = 0.763 bits (76% of max) · moderate 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 where b = (1−p̂)/p̂ are the net odds implied by p̂. ½K and ¼K are industry-standard conservative fractions.

§9 · Resolution criteria

This outcome resolves to Yes if the Game ends in a draw, or if the Game is canceled or not completed by July 19, 2026 at 23:59 UTC without FIFA officially declaring a winner.

§10 · Hourly return heatmap

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

0 up bars · 3 down · best 0.00% · worst -0.20% · typical |Δ| 0.011%

§11 · Equity curve & underwater drawdown

Cumulative compounded return + running peak-to-trough

final equity 0.9976 (-0.24%) · max DD -0.24% · time-under-water 7/22 bars

§12 · Rolling-window statistics (w = 5 bars)

Rolling annualised Sharpe ratio · green positive · red negative

latest -41.857 · range [-48.58, 0.00] · μ -18.816 · positive Sharpe = excess-return-per-risk earned by buying-and-holding through this window

Rolling annualised volatility (%)

latest 0.54% · range [0.00%, 8.25%] · μ 2.47% · σ̂ scaled to annualised (×√8760)

Rolling lag-1 autocorrelation ρ(1)

latest -0.050 · |ρ| > 0.3 ⇒ regime with persistence (ρ > 0) or reversal (ρ < 0) · |ρ| ≤ 0.1 = consistent with random walk

§13 · 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

REJECT H₀***

H₀: Δp ~ Normal(μ, σ²)

STATISTIC

418.7222

p-VALUE (log scale)

< 0.0001

10⁻⁴10⁻³10⁻²10⁻¹1

Ljung-Box(h=5)

FAIL TO REJECTns

H₀: No serial autocorrelation up to lag 5

STATISTIC

0.7747

p-VALUE (log scale)

0.9764

10⁻⁴10⁻³10⁻²10⁻¹1

Dickey-Fuller (τ_μ)

FAIL TO REJECTns

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

STATISTIC

-0.3371

p-VALUE (log scale)

0.9139

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

0.6272

p-VALUE (log scale)

0.0202

10⁻⁴10⁻³10⁻²10⁻¹1

Variance ratio q=2

FAIL TO REJECTns

H₀: Δp is a random walk · VR = 1

STATISTIC

0.5570

p-VALUE (log scale)

0.5775

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).

§14 · Spectral analysis (DFT periodogram)

Power spectrum of Δp · ‖X̂(k)‖²/n

dominant period ≈ 7.00h (freq 0.143) · concentrates 12.6% of total energy · Σ|X̂|²/n = 1.850e-6

▸ Depth section using sovereign-store price series (2297 bars · effective 5249975 bars/year) — annualisation reflects native polling cadence, not upstream timeframes.

§15 · 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 →

§16 · Horizon returns

Returns · per bar / per day / per horizon

Horizon 7.0 d · σ/bar 1.565pp · expected |Δp| over horizon 20.28ppterminal variance p(1−p) = 0.1724 · n = 2297✓ n = 2297

μ per bar

-0.012pp

average Δp · drift

σ per bar

1.565pp

one-bar volatility · logit-free

Per-day movedaily

7.67pp

σ × √24

Per-horizon move7d

20.28pp

σ × √168

Terminal variancebinary

0.1724

p(1−p) at resolution

Current pricep

22.1¢

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.

§17 · Tail risk

VaR · ES · max drawdown

VaR₉₅ 2.59pp · ES₉₅ 3.24pp · method parametric · drift-correcteddrift -0.012pp/bar · quantised: yes · median step 0.00pp · unique ratio 0.01✓ n = 2297

VaR 95%

2.59pp

1.645·σ (parametric) of Δp

ES 95%

3.24pp

mean of the tail

Max drawdown

70.3pp

peak 74.5¢ → trough 22.1¢

Median step

0.00pp

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.

§18 · Odds conversion

Odds conversion · every dialect a bettor thinks in

Implied probabilityP

22.1%

= price

Decimal oddsEU

4.516

total return per $1

AmericanUS

+352

$100 wins $352

FractionalUK

3.52 / 1

profit per $1 risked

Profit per $100stake

+$351.62

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.

§19 · Binary entropy

Binary entropy · uncertainty as bits of information

Market entropyH(p)

0.763 bit

max 1.0 at p = 0.5

Your entropyH(q)

0.763 bit

Δ +0.000 bit vs market

Surprise · YES−log₂ p

2.18 bit

self-information

Surprise · NO−log₂(1−p)

0.36 bit

self-information

Market entropy only — model entropy requires an external q.

§20 · 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: https://hyperliquid.xyz
Snapshot fetched: 2026-06-20 07:58:43 UTC
Snapshot age: 4.7s
Page rendered: 2026-06-20 07:58:48 UTC
History points: 22 closes · 22 counter-side closes
Storage policy: no persistence — fetched on every request
SHA-256 attestation: 94d77431a3af4232fd8cce4a1c63bcbaecf549c02dd882b11f70e61ef735c9c1 · deterministic hash of source snapshot
Open data licence: CC0 / public domain

§∞-2 · Related markets · explore more

HL PREDSpain88.4¢HL PREDEcuador86.5¢HL PREDUruguay67.8¢POLYMARKETWill USA win the 2026 FIFA World Cup?3¢POLYMARKETWill Turkiye win the 2026 FIFA World Cup?0¢POLYMARKET Iran agrees to end enrichment of uranium by June 30?6¢HL PERPBTC-USD perpetual$63,645 HL PERPHYPE-USD perpetual$70.02 HL PERPETH-USD perpetual$1,725.3

Also see: /arb opportunities · RSS feed

Risk metrics

▸ sovereign store · 2,297 barsperiods/year ≈ 5.25M

Realized vol (annualised)

8714.75%

σ per bar = 0.038034

Mean return (annualised)

-186247.02%

μ per bar = -0.000355

Sharpe (rf=0)

-21.37

annualised; risk-free assumed zero

Max drawdown

70.28%

peak 0.74 → trough 0.22 over 1594 bars

/api/asset/hl-pred-draw-459/risk · same metrics, JSON