POLYMARKET · PREDICTION MARKET · SAUDI ARABIA VS. URUGUAY

Will Uruguay win on 2026-06-15?

YES · live
65.5¢
NO · live
34.5¢

▸ Advanced metrics · M2M bundle

polymarket · fifwc-ksa-ury-2026-06-15-ury · fresh · feed 0s old
24h sparkline · 60 pts
realized vol (ann.)
128.57%
max drawdown
1.50%
sharpe
ulcer index
1.28%
RMS drawdown
pain index
1.08%
mean drawdown
mod. VaR 95%
0.05%
Cornish-Fisher
martin ratio
ret / ulcer
CDaR 95%
1.50%
cond. drawdown
gain/pain
0.00
Σgain / Σ|loss|
sterling
ret / CDaR
omega (θ=0)
0.00
upside/downside
roll spread
2.9 bps
implied (price-only)
bars used
107
store
spread
24h Δ
flow lean
carry
flat
signalNEUTRALconfidence 20%
Same bundle via M2M API: /api/m2m/pm-fifwc-ksa-ury-2026-06-15-ury/bundle · venue execution: polymarket
LIVEPOLL0SRCFRESH6ms--:--:-- UTC8NEXT8.0sUP0s--:--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
65.5¢
NO · live
34.5¢
YES price · live 24h
n=25 · μ=0.6698 · σ=0.0065 · range [0.6550, 0.6750] · R²=0.751 FALLING -2.96%σ LOW 0.98%LAST 0.65500.67500.67000.66500.66000.6550μ = 0.6698max 0.6750min 0.6550dataMA(5)OLS R²=0.75μ lineμ ± σ bandmaxminlive endpoint
25 ticks · last 65.50¢
YES / NO split · live
YES 65.5%NO 34.5%YES65.5%65.50¢ · odds 1/1.53
Σ 100.00% · fair
Σ-sides total = 100.00% (tight rounding)
H(p) entropy = 0.930 / 1.00 bits (93%) · high uncertainty
YES
65.5%65.5¢1.53× +0.00pp
NO
34.5%34.5¢2.90× +0.00pp
Σ 100.00% · arb gap 0.00pp
Per-tick activity · |Δp| in basis points · live
n=24 · Σ=200 · μ=8.3 · σ=28.2 · CV=3.39BURSTY · concentratedcumulative energy ↗ · 50% by h=140255075100μ = 810050%h1h5h9h13h17h21#1 peak#2-3> μactivequietμ linecum energy
Σ 200bp moved · peak 100bp · n=24 ticks
Live numerics · pulse on poll
LIVE NUMERICS8 metrics·POLL 0
snapshot age
6ms
YES mid
65.50¢ (65.50%)
NO mid
34.50¢ (34.50%)
ΣΣ sides
100.00%
arb gap
0.000pp
$24h vol $
$223.7k
liquidity $
$400.1k
history points
25 ticks (live)

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

YES price · CLOB mid
n=25 · μ=0.6698 · σ=0.0065 · range [0.6550, 0.6750] · R²=0.751 FALLING -2.96%σ LOW 0.98%LAST 0.65500.67500.67000.66500.66000.6550μ = 0.6698max 0.6750min 0.6550dataMA(5)OLS R²=0.75μ lineμ ± σ bandmaxmin
25 YES observations from clob.polymarket.com · last 65.50¢
NO price · CLOB mid
n=25 · μ=0.3302 · σ=0.0065 · range [0.3250, 0.3450] · R²=0.751 RISING +6.15%σ NORMAL 1.98%LAST 0.34500.34500.34000.33500.33000.3250μ = 0.3302max 0.3450min 0.3250dataMA(5)OLS R²=0.75μ lineμ ± σ bandmaxmin
25 NO observations from clob.polymarket.com · last 34.50¢

§2 · Distribution of Δp

Histogram of hourly increments
n=24 · 10 bins · μ=-0.0013 · σ=0.0025 · skew=-3.02 (left-skewed) · kurt=7.09 (leptokurtic (fat tails))221711602-0.95ppbin -0.95pp · n=2 · 9.1% peakbin -0.95pp · n=2 · 9.1% peak-0.85pp-0.75pp-0.65pp-0.55pp-0.45pp-0.35pp-0.25pp-0.15pp22-0.05ppbin -0.05pp · n=22 · 100.0% peakbin -0.05pp · n=22 · 100.0% peakμΔ < 0 · loss barsΔ ≈ 0 · flatΔ > 0 · gain barsN(μ,σ²) referenceμ line · ±σ band shaded
n=24
Q-Q plot · standardised Δp vs N(0,1)
n=24 · skew=-3.02 · kurt=7.09 · near 5 / mid 11 / far 8 · OLS slope=0.57 intercept=-0.00LEPTOKURTIC — FAT TAILSTHIN UPPER TAILLOWER TAIL NORMAL-3σ-3σ-2σ-2σ-1σ-1σ+0σ+0σ+1σ+1σ+2σ+2σ+3σ+3σΔ=-1.78σΔ=+1.56σΔ=-1.74σsample ↓marginal: sample bars + theoretical N(0,1) curve →theoretical Φ⁻¹(p) →↑ sample z-quantile|Δ| < 0.3σ · on the line|Δ| < 1σ · moderate|Δ| ≥ 1σ · outliery = x refOLS fit
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=25LEFT-SKEWED (G₁=-0.79)
μ MEAN66.98¢95% CI: [66.72¢, 67.24¢]
σ STD DEV0.65ppσ² = 0.427 · CV = 0.98%
med MEDIAN67.50¢Q₁ 66.50¢ · Q₃ 67.50¢
FIVE-NUMBER SUMMARY · BOX PLOT
min 65.50¢Q₁ 66.50¢med 67.50¢Q₃ 67.50¢max 67.50¢μ
SKEWNESS · G₁-0.791left-skewed
−3−10+1+3
EXCESS KURTOSIS · G₂-0.562mesokurtic · normal-like
−30+2+4+6
μ ↔ medianμ < med · left-tailed|μ−med| / σ = 0.80
σ × 1.349 ↔ IQRconsistent with normalratio = 0.88
range ↔ σconcentrated (range < 4σ)range / σ = 3.06
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 · ADF rejects unit root
ρ(1) AUTOCORR-0.095within white-noise band
ρ(2) AUTOCORR-0.053lag-2 not significant
H · HURST EXPONENT1.169strongly persistent
OLS TREND · t-STAT-8.333significant @ α=0.05
HURST EXPONENT [0, 1]
H = 1.169STRONGLY PERSISTENT
0
anti-persistent
0.45
mean-reverting
0.5
random walk
0.55
persistent
1
strongly trending
AUTOCORRELATION FUNCTION · ρ(k) for k=1..5
k=1-0.095k=2-0.053k=3-0.057k=4-0.061k=5-0.0640+1−1+0.410.41+ momentum (ρ > +0.41)− reversal (ρ < −0.41)noise (within band)±2/√n threshold
OLS TREND · t-STAT · [-5, +5]
−5 reject−1.960 retain H₀+1.96+5 reject
REGIME CLASSIFICATIONMEAN-REVERTING · ADF rejects unit rootfrom Hurst + ρ(1) joint diagnosis
PREDICTABILITY · score 1.00very high · strong structure|ρ(1)| + 2·|H − 0.5| heuristic
TREND SIGNIFICANCESIGNIFICANT @ 1% (|t|=8.33)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 ID1897078
SLUGfifwc-ksa-ury-2026-06-15-ury
CATEGORYSaudi Arabia vs. Uruguay
TWO-SIDED PRICING
PRIMARY · YES65.50¢implied prob 65.50% · decimal odds 1.53×
COUNTER · NO34.50¢implied prob 34.50% · decimal odds 2.90×
65.50¢
34.50¢
Σ-SIDES ARBITRAGE TEST
0%50%100% · target110%
Σ = 100.00% · |1 − Σ| = 0.000pp
24H ACTIVITY · LIQUIDITY
24H VOLUME223.71k USD 24h
LIQUIDITY400.06k USD
MARKET QUALITYPERFECT · ARB-FREE Σ=100.00%|1−Σ| ≤ 0.5pp ⇒ fair · > 2pp ⇒ inefficient
PRICING SKEWFAVOURS YES (66¢)|primary − counter| = 0.310 · entropy 0.930 bits
LIQUIDITY DEPTHDEEP100k+ 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
YES 65.5%NO 34.5%YES65.5%H = 0.930 / 1.00 bits
Probability scale (YES)
0%25%50%
fair
75%100%
Implied decimal odds
YES1.53×(66¢)NO2.90×(35¢)
Kelly bet-size (% of bankroll) K* = 0.00%
K* full
0.00%
½K half
0.00%
¼K quarter
0.00%
Entropy H(p̂) = 0.930 bits (93% 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 · MEDIUMresolves 2026-06-15 22:00 UTC
1days
01hrs
39min
YES$1.00(P = 65.5%)
NO$0.00(P = 34.5%)
current: $0.6550 · expected return per side: $0.34 on YES hit · $0.66 on NO hit
0%25%50%75%100%YES $1NO $0NOW+0.5dRESOLVESP projection · σ=0.65% · path funnel to settle at YES=1 or NO=0
Theta progression · θ ∝ σ / √t_remainingθ_now = 3.200 pp/day
now1.07d left
3.200 pp/day×1.00
−25%19.25h left
3.695 pp/day×1.15
−50%12.83h left
4.525 pp/day×1.41
−75%6.42h left
6.400 pp/day×2.00
−90%2.57h left
10.119 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
HOURLY RETURN HEATMAP · n=24 bars · best 0.00% · worst -1.00% · typical |Δ| 0.08%BEARISH SESSION -2.00%BEST+0.00%1hWORST-1.00%14hTYPICAL |Δ|0.08%mean absoluteCUMULATIVE-2.00%Σ signed ΔSTREAK▬ 0flat-runASIA · 00-08 UTCμ +0.00% · Σ +0.00%EUROPE · 08-16 UTCμ -0.13% · Σ -1.00%US · 16-24 UTCμ -0.13% · Σ -1.00%CUMULATIVE Δ PATH · final -2.00%+0.00%-2.00%0.00% · 1h0.00% · 1h·1h★ BEST0.00% · 2h0.00% · 2h·2h0.00% · 3h0.00% · 3h·3h0.00% · 4h0.00% · 4h·4h0.00% · 5h0.00% · 5h·5h0.00% · 6h0.00% · 6h·6h0.00% · 7h0.00% · 7h·7h0.00% · 8h0.00% · 8h·8h0.00% · 9h0.00% · 9h·9h0.00% · 10h0.00% · 10h·10h0.00% · 11h0.00% · 11h·11h0.00% · 12h0.00% · 12h·12h0.00% · 13h0.00% · 13h·13h-1.00% · 14h-1.00% · 14h-1.00%14h▼ WORST0.00% · 15h0.00% · 15h·15h0.00% · 16h0.00% · 16h·16h0.00% · 17h0.00% · 17h·17h0.00% · 18h0.00% · 18h·18h0.00% · 19h0.00% · 19h·19h0.00% · 20h0.00% · 20h·20h0.00% · 21h0.00% · 21h·21h0.00% · 22h0.00% · 22h·22h-1.00% · 23h-1.00% · 23h-1.00%23h0.00% · 24h0.00% · 24h·24hTIME PATTERNAsia-led (+0.00%)RUNSup max 0 · down max 1BREADTH0% up · 8% down · 92% flat
0 up bars · 2 down · best 0.00% · worst -1.00% · typical |Δ| 0.083%

§10 · Equity curve & underwater drawdown

Cumulative compounded return + running peak-to-trough
EQUITY & DRAWDOWN ANALYSIS · n=25 barsLOSS · SHALLOW DD (-1.99%)FINAL-1.99%MAX DD-1.99%RECOVERYONGOING · 11 barsMAX RUN-UP+0.00%UNDERWATER11/25 (44%)STREAK▬ 0EQUITY CURVE · end 0.9801 · peak 1.0000 · range [0.9801, 1.0000]1.00000.9801break-even = 1★ PEAK 1.0000UNDERWATER DRAWDOWN · max -1.99% · moderate0%-1.99%▼ TROUGH -1.99%TOP DRAWDOWN PERIODS · 1 total#1 -1.99%bar 15-25 · 11 bars · ONGOINGDD SEVERITYmoderate (max -1.99%)RECOVERYongoing · 11 barsTIME UNDER WATER44% of session · 11/25 bars
final equity 0.9801 (-1.99%) · max DD -1.99% · time-under-water 11/25 bars

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

Rolling annualised Sharpe ratio · green positive · red negative
n=19 · +0 / −8 (0% positive) · μ=-16.09 · σ=19.38UNPROFITABLE STRATEGYLAST -38.21 (-1.14σ vs μ)38.2119.100.00-19.10-38.21μ = -16.090.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.00-38.21-38.21-38.21-38.21-38.21-38.21-38.21-38.21-38.21-38.21-38.21-38.210.000.000.000.000.000.00-38.21-38.21-38.21-38.21v > 0 · positivev < 0 · negativeμ mean lineμ ± σ bandlatest bar (outlined)
latest -38.210 · range [-38.21, 0.00] · μ -16.088 · positive Sharpe = excess-return-per-risk earned by buying-and-holding through this window
Rolling annualised volatility (%)
n=19 · μ=16.0884 · σ=19.3823 · range [0.0000, 38.2099] · R²=0.256 FLATσ EXTREME 120.47%LAST 38.209938.209928.657519.10509.55250.0000μ = 16.0884max 38.2099min 0.0000dataMA(3)OLS R²=0.26μ lineμ ± σ bandmaxmin
latest 38.21% · range [0.00%, 38.21%] · μ 16.09% · σ̂ scaled to annualised (×√8760)
Rolling lag-1 autocorrelation ρ(1)
n=19 · +0 / −8 (0% positive) · μ=-0.067 · σ=0.103MEAN-REVERSIONLAST -0.233 (-1.62σ vs μ)0.2330.1170.000-0.117-0.233μ = -0.0670.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.033-0.033-0.233-0.233-0.233-0.233-0.233-0.233-0.233-0.233-0.033-0.0330.0000.0000.0000.0000.0000.000-0.033-0.033-0.233-0.233v > 0 · positivev < 0 · negativeμ mean lineμ ± σ bandlatest bar (outlined)
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

REJECT H₀***

H₀: Δp ~ Normal(μ, σ²)

STATISTIC
124.7193
p-VALUE (log scale)
< 0.0001
α
10⁻⁴10⁻³10⁻²10⁻¹1
p < α · rejection zonenon-normal · fat tails or skew present
ρ

Ljung-Box(h=5)

FAIL TO REJECTns

H₀: No serial autocorrelation up to lag 5

STATISTIC
0.6698
p-VALUE (log scale)
0.9824
α
10⁻⁴10⁻³10⁻²10⁻¹1
p ≥ α · null retainedconsistent with white noise
Ψ

Dickey-Fuller (τ_μ)

FAIL TO REJECTns

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

STATISTIC
0.1024
p-VALUE (log scale)
0.9644
α
10⁻⁴10⁻³10⁻²10⁻¹1
p ≥ α · null retainedrandom-walk behaviour (crit ≈ -2.86)
±

Wald-Wolfowitz runs

N/An/a

H₀: Sign sequence of Δ is random

STATISTIC
p-VALUE (log scale)
no decision possibleinsufficient sign variety (0+/2-)
χ

KPSS (μ stationarity)

REJECT H₀**

H₀: p IS level-stationary

STATISTIC
0.8151
p-VALUE (log scale)
0.0066
α
10⁻⁴10⁻³10⁻²10⁻¹1
p < α · rejection zonenon-stationary (crit 0.463)
χ

Variance ratio q=3

FAIL TO REJECTns

H₀: Δp is a random walk · VR = 1

STATISTIC
-0.7579
p-VALUE (log scale)
0.4485
α
10⁻⁴10⁻³10⁻²10⁻¹1
p ≥ α · null retainedVR 0.769 ≈ 1 (RW behaviour)
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
n=12 bins · noise floor μ=7.64e-6 · top T=3.00h (18.2%) · top-3 cover 49.2%1 SIGNIFICANT CYCLEcumulative energy ↗ (1 bin above 2× noise)1.7e-51.3e-58.3e-64.2e-60.0e+0μ noise floor2× noise (significance)period 24.0 · power 2.44e-6 · 2.7% energyperiod 24.0 · power 2.44e-6 · 2.7% energyperiod 12.0 · power 8.33e-6 · 9.1% energyperiod 12.0 · power 8.33e-6 · 9.1% energyperiod 8.0 · power 1.42e-5 · 15.5% energyperiod 8.0 · power 1.42e-5 · 15.5% energyperiod 6.0 · power 6.92e-38 · 0.0% energyperiod 6.0 · power 6.92e-38 · 0.0% energyperiod 4.8 · power 1.42e-5 · 15.5% energyperiod 4.8 · power 1.42e-5 · 15.5% energyperiod 4.0 · power 8.33e-6 · 9.1% energyperiod 4.0 · power 8.33e-6 · 9.1% energyperiod 3.4 · power 2.44e-6 · 2.7% energyperiod 3.4 · power 2.44e-6 · 2.7% energyperiod 3.0 · power 1.67e-5 · 18.2% energyperiod 3.0 · power 1.67e-5 · 18.2% energyperiod 2.7 · power 2.44e-6 · 2.7% energyperiod 2.7 · power 2.44e-6 · 2.7% energyperiod 2.4 · power 8.33e-6 · 9.1% energyperiod 2.4 · power 8.33e-6 · 9.1% energyperiod 2.2 · power 1.42e-5 · 15.5% energyperiod 2.2 · power 1.42e-5 · 15.5% energyperiod 2.0 · power 5.59e-34 · 0.0% energyperiod 2.0 · power 5.59e-34 · 0.0% energy50% by T=4.0h#1 dominantT=3.00h#2T=2.18h#3T=4.80hT=2hT=3hT=4hT=6hT=8hT=12hT=16hT=24h← shorter cycle (high freq · Nyquist=½) · period T (bars per cycle) · longer cycle (low freq · 1/n) →#1 dominant#2 peak#3 peak> 2× noisenoiseμ floor2μ sig.cum energy
dominant period ≈ 3.00h (freq 0.333) · concentrates 18.2% of total energy · Σ|X̂|²/n = 9.167e-5

▸ Depth section using sovereign-store price series (107 bars · effective 1753395 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 1.1 d · σ/bar 0.097pp · expected |Δp| over horizon 0.49ppterminal variance p(1−p) = 0.2260 · n = 107n = 107
μ per bar
-0.009pp
average Δp · drift
σ per bar
0.097pp
one-bar volatility · logit-free
Per-day movedaily
0.48pp
σ × √24
Per-horizon move1d
0.49pp
σ × √25.66586861111111
Terminal variancebinary
0.2260
p(1−p) at resolution
Current pricep
65.5¢
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 0.17pp · ES₉₅ 0.21pp · method parametric · drift-correcteddrift -0.009pp/bar · quantised: yes · median step 1.00pp · unique ratio 0.02low confidence · n < 200
VaR 95%
0.17pp
1.645·σ (parametric) of Δp
ES 95%
0.21pp
mean of the tail
Max drawdown
1.5pp
peak 66.5¢ → trough 65.5¢
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
65.5%
= price
Decimal oddsEU
1.527
total return per $1
AmericanUS
-190
risk $190 to win $100
FractionalUK
0.53 / 1
profit per $1 risked
Profit per $100stake
+$52.67
clean dollar framing
-1000-5000+500+1000020406080100you · 65.5%implied probability (%)American odds
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)
0.930 bit
max 1.0 at p = 0.5
Your entropyH(q)
0.930 bit
Δ +0.000 bit vs market
Surprise · YES−log₂ p
0.61 bit
self-information
Surprise · NO−log₂(1−p)
1.54 bit
self-information
0.000.260.530.791.050.00.20.40.60.81.0marketmodelprobabilityH (bits)
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
67375566273017733280418349633635206252639538869301457434188127341791609355341
NO token ID
2575649873331305281697901933427878751073542224398105116199284617976552667985
Snapshot fetched
2026-06-14 20:20:02 UTC
Snapshot age
6ms
History points
25 CLOB mids
Page rendered
2026-06-14 20:20:02 UTC
Storage policy
no persistence — fetched on every request
SHA-256 attestation
eb26bbf93d6c89ee1d8fd7df3ab3a15c2b76c319c6e0ba3fa7dc41619cd9a449 · deterministic hash of source snapshot
Open data licence
CC0 / public domain

§∞-2 · Related markets · explore more

Also see: /arb opportunities · RSS feed · more in Saudi Arabia vs. Uruguay

Market depth

live order book · Polymarket YES
Depth 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
0.655000
(best bid + best ask) / 2
Spread
152.7bp
(bestAsk − bestBid) / mid
Imbalance (whole book)
-0.304
ask-heavy
Imbalance (top-5)
-0.394
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-ksa-ury-2026-06-15-ury/slippage?size=10000&side=buy

SideNotionalAvg fillSlippageWorst fillLevelsStatus
BUY$1.00K0.66000076.34bp0.6600001FILLED
BUY$10.00K0.66000076.34bp0.6600001FILLED
BUY$100.00K0.667891196.81bp0.6800003FILLED
SELL$1.00K0.65000076.34bp0.6500001FILLED
SELL$10.00K0.65000076.34bp0.6500001FILLED
SELL$100.00K0.616994580.24bp0.54000011FILLED

Risk metrics

sovereign store · 107 barsperiods/year ≈ 1.75M
Realized vol (annualised)
194.87%
σ per bar = 0.001472
Mean return (annualised)
-25063.30%
μ per bar = -0.000143
Sharpe (rf=0)
-128.61
annualised; risk-free assumed zero
Max drawdown
1.50%
peak 0.67 → trough 0.66 over 30 bars

/api/asset/pm-fifwc-ksa-ury-2026-06-15-ury/risk · same metrics, JSON