POLYMARKET · PREDICTION MARKET · ARGENTINA VS. AUSTRIA

Will Argentina win on 2026-06-22?

YES · live

61.5¢

NO · live

38.5¢

▸ Advanced metrics · M2M bundle

polymarket · fifwc-arg-aut-2026-06-22-arg · fresh · feed 10s old

24h sparkline · 60 pts▼ -1.60%

realized vol (ann.)

41.87%

max drawdown

1.60%

sharpe

—

ulcer index

0.54%

RMS drawdown

pain index

0.18%

mean drawdown

mod. VaR 95%

0.00%

Cornish-Fisher

martin ratio

—

ret / ulcer

CDaR 95%

1.60%

cond. drawdown

gain/pain

1.00

Σgain / Σ|loss|

sterling

—

ret / CDaR

omega (θ=0)

1.00

upside/downside

roll spread

0.0 bps

implied (price-only)

bars used

2000

store

spread

—

24h Δ

-1.60%

flow lean

—

carry

flat

signalNEUTRALconfidence 25%

24h change -1.60%

Same bundle via M2M API: /api/m2m/pm-fifwc-arg-aut-2026-06-22-arg/bundle · venue execution: polymarket →

LIVEPOLL0SRCFRESH9.6s⏱--:--:-- 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

61.5¢

NO · live

38.5¢

YES price · live 24h

25 ticks · last 61.50¢

YES / NO split · live

Σ 100.00% · fair

Σ-sides total = 100.00% (tight rounding)

H(p) entropy = 0.961 / 1.00 bits (96%) · max uncertainty (~50/50)

YES

61.5%61.5¢1.63×▬ +0.00pp

38.5%38.5¢2.60×▬ +0.00pp

Σ 100.00% · arb gap 0.00pp

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

Σ 300bp moved · peak 100bp · n=24 ticks

Live numerics · pulse on poll

LIVE NUMERICS8 metrics·POLL 0

⏱snapshot age

9.6s

▲YES mid

61.50¢ (61.50%)

▼NO mid

38.50¢ (38.50%)

ΣΣ sides

100.00%

⚖arb gap

0.000pp

$24h vol $

$66.3k

≋liquidity $

$390.4k

◳history points

25 ticks (live)

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

YES price · CLOB mid

25 YES observations from clob.polymarket.com · last 61.50¢

NO price · CLOB mid

25 NO observations from clob.polymarket.com · last 38.50¢

§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=-1.92)

μ MEAN61.90¢95% CI: [61.70¢, 62.10¢]

σ STD DEV0.50ppσ² = 0.250 · CV = 0.81%

med MEDIAN61.50¢Q₁ 61.50¢ · Q₃ 62.50¢

FIVE-NUMBER SUMMARY · BOX PLOTrange 1.00pp · IQR 1.00pp (1.349σ→0.67pp)

SKEWNESS · G₁0.384approximately symmetric

−3−10+1+3

EXCESS KURTOSIS · G₂-1.925platykurtic · thin tails

−30+2+4+6

μ ↔ medianμ > med · right-tailed|μ−med| / σ = 0.80

σ × 1.349 ↔ IQRdiverges from normalratio = 0.67

range ↔ σconcentrated (range < 4σ)range / σ = 2.00

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: MARTINGALE · UNPREDICTABLE

ρ(1) AUTOCORR-0.015within white-noise band

ρ(2) AUTOCORR-0.001lag-2 not significant

H · HURST EXPONENT1.403strongly persistent

OLS TREND · t-STAT-1.294fails 5% test

HURST EXPONENT [0, 1]strongly persistent · H = 1.403

H = 1.403STRONGLY 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]NOT SIGNIFICANT (|t|=1.29)

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

REGIME CLASSIFICATIONMARTINGALE · UNPREDICTABLEfrom Hurst + ρ(1) joint diagnosis

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

TREND SIGNIFICANCENOT SIGNIFICANT (|t|=1.29)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 ID1897193

SLUGfifwc-arg-aut-2026-06-22-arg

CATEGORYArgentina vs. Austria

TWO-SIDED PRICINGFAVOURS YES (62¢)

PRIMARY · YES61.50¢implied prob 61.50% · decimal odds 1.63×

COUNTER · NO38.50¢implied prob 38.50% · decimal odds 2.60×

61.50¢

38.50¢

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

0%50%100% · target110%

Σ = 100.00% · |1 − Σ| = 0.000pp

24H ACTIVITY · LIQUIDITYACTIVE

24H VOLUME66.26k USD 24h

LIQUIDITY390.42k USD

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

PRICING SKEWFAVOURS YES (62¢)|primary − counter| = 0.230 · entropy 0.961 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

YES1.63×(62¢)NO2.60×(39¢)

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

K* full

0.00%

½K half

0.00%

¼K quarter

0.00%

Entropy H(p̂) = 0.961 bits (96% of max) · maximum uncertainty (~50/50)

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 · LOWresolves 2026-06-22 17:00 UTC

4days

06hrs

12min

YES →$1.00(P = 61.5%)

NO →$0.00(P = 38.5%)

current: $0.6150 · expected return per side: $0.39 on YES hit · $0.61 on NO hit

Theta progression · θ ∝ σ / √t_remainingθ_now = 2.449 pp/day

now4.26d left

2.449 pp/day×1.00

−25%3.19d left

2.828 pp/day×1.15

−50%2.13d left

3.464 pp/day×1.41

−75%1.06d left

4.899 pp/day×2.00

−90%10.22h left

7.746 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 · 2 down · best 1.00% · worst -1.00% · typical |Δ| 0.125%

§10 · Equity curve & underwater drawdown

Cumulative compounded return + running peak-to-trough

final equity 0.9899 (-1.01%) · max DD -1.01% · time-under-water 19/25 bars

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

Rolling annualised Sharpe ratio · green positive · red negative

latest 0.000 · range [-38.21, 38.21] · μ -4.022 · positive Sharpe = excess-return-per-risk earned by buying-and-holding through this window

Rolling annualised volatility (%)

latest 59.19% · range [0.00%, 59.19%] · μ 26.34% · σ̂ scaled to annualised (×√8760)

Rolling lag-1 autocorrelation ρ(1)

latest 0.000 · |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

1 of 5 REJECT · mixed evidence1 reject·4 pass·1 n/a·α = 0.05

𝒩

Jarque-Bera

REJECT H₀***

H₀: Δp ~ Normal(μ, σ²)

STATISTIC

41.8807

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

3.6209

p-VALUE (log scale)

0.6075

10⁻⁴10⁻³10⁻²10⁻¹1

Dickey-Fuller (τ_μ)

FAIL TO REJECTns

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

STATISTIC

-1.9337

p-VALUE (log scale)

0.3268

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)

FAIL TO REJECTns

H₀: p IS level-stationary

STATISTIC

0.2170

p-VALUE (log scale)

0.3270

10⁻⁴10⁻³10⁻²10⁻¹1

Variance ratio q=3

FAIL TO REJECTns

H₀: Δp is a random walk · VR = 1

STATISTIC

-0.1156

p-VALUE (log scale)

0.9080

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 ≈ 8.00h (freq 0.125) · concentrates 21.7% of total energy · Σ|X̂|²/n = 1.500e-4

▸ Depth section using sovereign-store price series (5000 bars · effective 1752421 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 4.3 d · σ/bar 0.028pp · expected |Δp| over horizon 0.29ppterminal variance p(1−p) = 0.2368 · n = 5000✓ n = 5000

μ per bar

-0.000pp

average Δp · drift

σ per bar

0.028pp

one-bar volatility · logit-free

Per-day movedaily

0.14pp

σ × √24

Per-horizon move4d

0.29pp

σ × √102.20069916666668

Terminal variancebinary

0.2368

p(1−p) at resolution

Current pricep

61.5¢

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 0.05pp · ES₉₅ 0.06pp · method parametric · drift-correcteddrift -0.000pp/bar · quantised: yes · median step 1.00pp · unique ratio 0.00✓ n = 5000

VaR 95%

0.05pp

1.645·σ (parametric) of Δp

ES 95%

0.06pp

mean of the tail

Max drawdown

3.1pp

peak 63.5¢ → trough 61.5¢

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

61.5%

= price

Decimal oddsEU

1.626

total return per $1

AmericanUS

-160

risk $160 to win $100

FractionalUK

0.63 / 1

profit per $1 risked

Profit per $100stake

+$62.60

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)

0.961 bit

max 1.0 at p = 0.5

Your entropyH(q)

0.961 bit

Δ +0.000 bit vs market

Surprise · YES−log₂ p

0.70 bit

self-information

Surprise · NO−log₂(1−p)

1.38 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: 43065377931595109421738195806896155428299627622642742017785976384593510801128
NO token ID: 77002366109109127479239996257904251473000417388964866523475185435352010232935
Snapshot fetched: 2026-06-18 10:47:47 UTC
Snapshot age: 9.6s
History points: 25 CLOB mids
Page rendered: 2026-06-18 10:47:57 UTC
Storage policy: no persistence — fetched on every request
SHA-256 attestation: e5fb434011fe4f2de23cf2fd63d4b173fd4e3b80eb6bb110cffbee7cc4ce8d76 · deterministic hash of source snapshot
Open data licence: CC0 / public domain

§∞-2 · Related markets · explore more

HL PREDBrazil88.1¢HL PREDCanada75.9¢HL PREDSwitzerland62.6¢POLYMARKETWill Congo DR win the 2026 FIFA World Cup?0¢POLYMARKETWill Colombia win the 2026 FIFA World Cup?2¢POLYMARKETWill Croatia win the 2026 FIFA World Cup?1¢HL PERPBTC-USD perpetual$64,028 HL PERPHYPE-USD perpetual$71.77 HL PERPETH-USD perpetual$1,741.1

Also see: /arb opportunities · RSS feed · more in Argentina vs. Austria

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

0.615000

(best bid + best ask) / 2

Spread

162.6bp

(bestAsk − bestBid) / mid

Imbalance (whole book)

-0.152

ask-heavy

Imbalance (top-5)

-0.143

ask-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-arg-aut-2026-06-22-arg/slippage?size=10000&side=buy

Side	Notional	Avg fill	Slippage	Worst fill	Levels	Status
BUY	$1.00K	0.620000	81.30bp	0.620000	1	FILLED
BUY	$10.00K	0.620000	81.30bp	0.620000	1	FILLED
BUY	$100.00K	0.647431	527.33bp	0.690000	8	FILLED
SELL	$1.00K	0.610000	81.30bp	0.610000	1	FILLED
SELL	$10.00K	0.604928	163.77bp	0.600000	2	FILLED
SELL	$100.00K	0.551825	1027.23bp	0.470000	15	FILLED

Risk metrics

▸ sovereign store · 5,000 barsperiods/year ≈ 1.75M

Realized vol (annualised)

60.16%

σ per bar = 0.000454

Mean return (annualised)

-1121.87%

μ per bar = -0.000006

Sharpe (rf=0)

-18.65

annualised; risk-free assumed zero

Max drawdown

3.15%

peak 0.64 → trough 0.61 over 1491 bars

/api/asset/pm-fifwc-arg-aut-2026-06-22-arg/risk · same metrics, JSON