POLYMARKET · PREDICTION MARKET · SPORTS

Will Colombia win the 2026 FIFA World Cup?

YES · live
1.6¢
NO · live
98.5¢

▸ Advanced metrics · M2M bundle

polymarket · will-colombia-win-the-2026-fifa-world-cup-734 · fresh · feed 2s old
24h sparkline · 60 pts
realized vol (ann.)
2.96%
max drawdown
6.06%
sharpe
ulcer index
1.49%
RMS drawdown
pain index
0.37%
mean drawdown
mod. VaR 95%
0.00%
Cornish-Fisher
martin ratio
ret / ulcer
CDaR 95%
6.06%
cond. drawdown
gain/pain
0.00
Σgain / Σ|loss|
sterling
ret / CDaR
omega (θ=0)
0.00
upside/downside
roll spread
0.6 bps
implied (price-only)
bars used
2000
store
spread
24h Δ
flow lean
carry
flat
signalNEUTRALconfidence 20%
Same bundle via M2M API: /api/m2m/pm-will-colombia-win-the-2026-fifa-world-cup-734/bundle · venue execution: polymarket
LIVEPOLL0SRCFRESH2.3s--:--:-- 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
1.6¢
NO · live
98.5¢
YES price · live 24h
n=25 · μ=0.0164 · σ=0.0003 · range [0.0155, 0.0165] · R²=0.221 FALLING -6.06%σ NORMAL 1.69%LAST 0.01550.01650.01630.01600.01580.0155μ = 0.0164max 0.0165min 0.0155dataMA(5)OLS R²=0.22μ lineμ ± σ bandmaxminlive endpoint
25 ticks · last 1.55¢
YES / NO split · live
YES 1.6%NO 98.5%NO98.5%98.45¢ · odds 1/1.02
Σ 100.00% · fair
Σ-sides total = 100.00% (tight rounding)
H(p) entropy = 0.115 / 1.00 bits (12%) · informative — one side favoured
YES
1.6%1.6¢64.52× +0.00pp
NO
98.5%98.5¢1.02× +0.00pp
Σ 100.00% · arb gap 0.00pp
Per-tick activity · |Δp| in basis points · live
n=24 · Σ=10 · μ=0.4 · σ=2.0 · CV=4.90BURSTY · concentratedcumulative energy ↗ · 50% by h=23035810μ = 01050%h1h5h9h13h17h21#1 peak#2-3> μactivequietμ linecum energy
Σ 10bp moved · peak 10bp · n=24 ticks
Live numerics · pulse on poll
LIVE NUMERICS8 metrics·POLL 0
snapshot age
2.3s
YES mid
1.55¢ (1.55%)
NO mid
98.45¢ (98.45%)
ΣΣ sides
100.00%
arb gap
0.000pp
$24h vol $
$1.4M
liquidity $
$4.9M
history points
25 ticks (live)

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

YES price · CLOB mid
n=25 · μ=0.0164 · σ=0.0003 · range [0.0155, 0.0165] · R²=0.221 FALLING -6.06%σ NORMAL 1.69%LAST 0.01550.01650.01630.01600.01580.0155μ = 0.0164max 0.0165min 0.0155dataMA(5)OLS R²=0.22μ lineμ ± σ bandmaxmin
25 YES observations from clob.polymarket.com · last 1.55¢
NO price · CLOB mid
n=25 · μ=0.9836 · σ=0.0003 · range [0.9835, 0.9845] · R²=0.221 RISING +0.10%σ LOW 0.03%LAST 0.98450.98450.98430.98400.98380.9835μ = 0.9836max 0.9845min 0.9835dataMA(5)OLS R²=0.22μ lineμ ± σ bandmaxmin
25 NO observations from clob.polymarket.com · last 98.45¢

§2 · Distribution of Δp

Histogram of hourly increments
n=24 · 10 bins · μ=-0.0001 · σ=0.0002 · skew=-4.59 (left-skewed) · kurt=19.04 (leptokurtic (fat tails))231712601-0.10ppbin -0.10pp · n=1 · 4.3% peakbin -0.10pp · n=1 · 4.3% peak-0.09pp-0.08pp-0.07pp-0.06pp-0.05pp-0.04pp-0.03pp-0.02pp23-0.01ppbin -0.01pp · n=23 · 100.0% peakbin -0.01pp · n=23 · 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=-4.59 · kurt=19.04 · near 6 / mid 10 / far 8 · OLS slope=0.45 intercept=-0.00LEPTOKURTIC — FAT TAILSTHIN UPPER TAILLOWER TAIL NORMAL-3σ-3σ-2σ-2σ-1σ-1σ+0σ+0σ+1σ+1σ+2σ+2σ+3σ+3σΔ=-2.76σΔ=+1.74σΔ=-1.83σsample ↓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=25LEPTOKURTIC · FAT TAILS (G₂=6.76)
μ MEAN1.64¢95% CI: [1.63¢, 1.65¢]
σ STD DEV0.03ppσ² = 7.667×10⁻⁴ · CV = 1.69%
med MEDIAN1.65¢Q₁ 1.65¢ · Q₃ 1.65¢
FIVE-NUMBER SUMMARY · BOX PLOT
min 1.55¢Q₁ 1.65¢med 1.65¢Q₃ 1.65¢max 1.65¢μ
SKEWNESS · G₁-2.912left-skewed
−3−10+1+3
EXCESS KURTOSIS · G₂6.757leptokurtic · fat tails
−30+2+4+6
μ ↔ medianμ < med · left-tailed|μ−med| / σ = 0.29
σ × 1.349 ↔ IQRdiverges from normalratio = 0.00
range ↔ σconcentrated (range < 4σ)range / σ = 3.61
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-0.045within white-noise band
ρ(2) AUTOCORR-0.004lag-2 not significant
H · HURST EXPONENT0.611persistent
OLS TREND · t-STAT-2.556significant @ α=0.05
HURST EXPONENT [0, 1]
H = 0.611PERSISTENT
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=1-0.045k=2-0.004k=3-0.005k=4-0.007k=5-0.0090+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 0.27moderate · 1-step ahead inferrable|ρ(1)| + 2·|H − 0.5| heuristic
TREND SIGNIFICANCESIGNIFICANT @ 5% (|t|=2.56)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 ID558947
SLUGwill-colombia-win-the-2026-fifa-world-cup-734
CATEGORYSports
TWO-SIDED PRICING
PRIMARY · YES1.55¢implied prob 1.55% · decimal odds 64.52×
COUNTER · NO98.45¢implied prob 98.45% · decimal odds 1.02×
1.55¢
98.45¢
Σ-SIDES ARBITRAGE TEST
0%50%100% · target110%
Σ = 100.00% · |1 − Σ| = 0.000pp
24H ACTIVITY · LIQUIDITY
24H VOLUME1.39M USD 24h
LIQUIDITY4.87M USD
MARKET QUALITYPERFECT · ARB-FREE Σ=100.00%|1−Σ| ≤ 0.5pp ⇒ fair · > 2pp ⇒ inefficient
PRICING SKEWFAVOURS NO (98¢)|primary − counter| = 0.969 · entropy 0.115 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 1.6%NO 98.5%YES1.6%H = 0.115 / 1.00 bits
Probability scale (YES)
0%25%50%
fair
75%100%
Implied decimal odds
YES64.52×(2¢)NO1.02×(98¢)
Kelly bet-size (% of bankroll) K* = 0.00%
K* full
0.00%
½K half
0.00%
¼K quarter
0.00%
Entropy H(p̂) = 0.115 bits (12% of max) · informative — one side strongly favoured
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 · DISTANTresolves 2026-07-20 00:00 UTC
35days
14hrs
11min
YES$1.00(P = 1.6%)
NO$0.00(P = 98.5%)
current: $0.0155 · expected return per side: $0.98 on YES hit · $0.02 on NO hit
0%25%50%75%100%YES $1NO $0NOW+17.8dRESOLVESP projection · σ=0.03% · path funnel to settle at YES=1 or NO=0
Theta progression · θ ∝ σ / √t_remainingθ_now = 0.136 pp/day
now35.59d left
0.136 pp/day×1.00
−25%26.69d left
0.157 pp/day×1.15
−50%17.80d left
0.192 pp/day×1.41
−75%8.90d left
0.271 pp/day×2.00
−90%3.56d left
0.429 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 -0.10% · typical |Δ| 0.00%MILD BEARISH -0.10%BEST+0.00%1hWORST-0.10%23hTYPICAL |Δ|0.00%mean absoluteCUMULATIVE-0.10%Σ signed ΔSTREAK▬ 0flat-runASIA · 00-08 UTCμ +0.00% · Σ +0.00%EUROPE · 08-16 UTCμ +0.00% · Σ +0.00%US · 16-24 UTCμ -0.01% · Σ -0.10%CUMULATIVE Δ PATH · final -0.10%+0.00%-0.10%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·13h0.00% · 14h0.00% · 14h·14h0.00% · 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-0.10% · 23h-0.10% · 23h-0.10%23h▼ WORST0.00% · 24h0.00% · 24h·24hTIME PATTERNuniform across sessionsRUNSup max 0 · down max 1BREADTH0% up · 4% down · 96% flat
0 up bars · 1 down · best 0.00% · worst -0.10% · typical |Δ| 0.004%

§10 · Equity curve & underwater drawdown

Cumulative compounded return + running peak-to-trough
EQUITY & DRAWDOWN ANALYSIS · n=25 barsLOSS · SHALLOW DD (-0.10%)FINAL-0.10%MAX DD-0.10%RECOVERYONGOING · 2 barsMAX RUN-UP+0.00%UNDERWATER2/25 (8%)STREAK▬ 0EQUITY CURVE · end 0.9990 · peak 1.0000 · range [0.9990, 1.0000]1.00000.9990break-even = 1★ PEAK 1.0000UNDERWATER DRAWDOWN · max -0.10% · shallow0%-0.10%▼ TROUGH -0.10%TOP DRAWDOWN PERIODS · 1 total#1 -0.10%bar 24-25 · 2 bars · ONGOINGDD SEVERITYshallow (max -0.10%)RECOVERYongoing · 2 barsTIME UNDER WATER8% of session · 2/25 bars
final equity 0.9990 (-0.10%) · max DD -0.10% · time-under-water 2/25 bars

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

Rolling annualised Sharpe ratio · green positive · red negative
n=19 · +0 / −2 (0% positive) · μ=-4.02 · σ=12.05UNPROFITABLE STRATEGYLAST -38.21 (-2.84σ vs μ)38.2119.100.00-19.10-38.21μ = -4.020.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.00-38.21-38.21-38.21-38.21v > 0 · positivev < 0 · negativeμ mean lineμ ± σ bandlatest bar (outlined)
latest -38.210 · range [-38.21, 0.00] · μ -4.022 · positive Sharpe = excess-return-per-risk earned by buying-and-holding through this window
Rolling annualised volatility (%)
n=19 · μ=0.4022 · σ=1.2048 · range [0.0000, 3.8210] · R²=0.283 FLATσ EXTREME 299.54%LAST 3.82103.82102.86571.91050.95520.0000μ = 0.4022max 3.8210min 0.0000dataMA(3)OLS R²=0.28μ lineμ ± σ bandmaxmin
latest 3.82% · range [0.00%, 3.82%] · μ 0.40% · σ̂ scaled to annualised (×√8760)
Rolling lag-1 autocorrelation ρ(1)
n=19 · +0 / −2 (0% positive) · μ=-0.014 · σ=0.054MEAN-REVERSIONLAST -0.233 (-4.09σ vs μ)0.2330.1170.000-0.117-0.233μ = -0.0140.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.033-0.033-0.233-0.233v > 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
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
672.0000
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
0.0612
p-VALUE (log scale)
0.9997
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
-0.2041
p-VALUE (log scale)
0.9319
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+/1-)
χ

KPSS (μ stationarity)

FAIL TO REJECTns

H₀: p IS level-stationary

STATISTIC
0.3741
p-VALUE (log scale)
0.0883
α
10⁻⁴10⁻³10⁻²10⁻¹1
p ≥ α · null retainedstationary not rejected (crit 0.463)
χ

Variance ratio q=3

FAIL TO REJECTns

H₀: Δp is a random walk · VR = 1

STATISTIC
-1.0101
p-VALUE (log scale)
0.3125
α
10⁻⁴10⁻³10⁻²10⁻¹1
p ≥ α · null retainedVR 0.693 ≈ 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=4.17e-8 · top T=24.00h (8.3%) · top-3 cover 25.0%WHITE NOISE · no dominant cyclecumulative energy ↗ (0 bins above 2× noise)4.2e-83.1e-82.1e-81.0e-80.0e+0μ noise floorperiod 24.0 · power 4.17e-8 · 8.3% energyperiod 24.0 · power 4.17e-8 · 8.3% energyperiod 12.0 · power 4.17e-8 · 8.3% energyperiod 12.0 · power 4.17e-8 · 8.3% energyperiod 8.0 · power 4.17e-8 · 8.3% energyperiod 8.0 · power 4.17e-8 · 8.3% energyperiod 6.0 · power 4.17e-8 · 8.3% energyperiod 6.0 · power 4.17e-8 · 8.3% energyperiod 4.8 · power 4.17e-8 · 8.3% energyperiod 4.8 · power 4.17e-8 · 8.3% energyperiod 4.0 · power 4.17e-8 · 8.3% energyperiod 4.0 · power 4.17e-8 · 8.3% energyperiod 3.4 · power 4.17e-8 · 8.3% energyperiod 3.4 · power 4.17e-8 · 8.3% energyperiod 3.0 · power 4.17e-8 · 8.3% energyperiod 3.0 · power 4.17e-8 · 8.3% energyperiod 2.7 · power 4.17e-8 · 8.3% energyperiod 2.7 · power 4.17e-8 · 8.3% energyperiod 2.4 · power 4.17e-8 · 8.3% energyperiod 2.4 · power 4.17e-8 · 8.3% energyperiod 2.2 · power 4.17e-8 · 8.3% energyperiod 2.2 · power 4.17e-8 · 8.3% energyperiod 2.0 · power 4.17e-8 · 8.3% energyperiod 2.0 · power 4.17e-8 · 8.3% energy50% by T=4.0h#1 dominantT=24.00h#2T=8.00h#3T=2.40hT=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 ≈ 24.00h (freq 0.042) · concentrates 8.3% of total energy · Σ|X̂|²/n = 5.000e-7

▸ Depth section using sovereign-store price series (2563 bars · effective 1752810 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 35.6 d · σ/bar 0.002pp · expected |Δp| over horizon 0.06ppterminal variance p(1−p) = 0.0153 · n = 2563n = 2563
μ per bar
-0.000pp
average Δp · drift
σ per bar
0.002pp
one-bar volatility · logit-free
Per-day movedaily
0.01pp
σ × √24
Per-horizon move36d
0.06pp
σ × √854.1872711111112
Terminal variancebinary
0.0153
p(1−p) at resolution
Current pricep
1.6¢
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

VaR · ES · max drawdown
VaR₉₅ 0.00pp · ES₉₅ 0.00pp · method parametric · drift-correcteddrift -0.000pp/bar · quantised: yes · median step 0.10pp · unique ratio 0.00n = 2563
VaR 95%
0.00pp
1.645·σ (parametric) of Δp
ES 95%
0.00pp
mean of the tail
Max drawdown
6.1pp
peak 1.7¢ → trough 1.6¢
Median step
0.10pp
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
1.6%
= price
Decimal oddsEU
64.516
total return per $1
AmericanUS
+6352
$100 wins $6352
FractionalUK
63.52 / 1
profit per $1 risked
Profit per $100stake
+$6351.61
clean dollar framing
-1000-5000+500+1000020406080100you · 1.6%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)
0.115 bit
max 1.0 at p = 0.5
Your entropyH(q)
0.115 bit
Δ +0.000 bit vs market
Surprise · YES−log₂ p
6.01 bit
self-information
Surprise · NO−log₂(1−p)
0.02 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
98803390175521456712653678280474920637934596234667490983228578374641217211132
NO token ID
66826965351166675155887515167306086307412332225034738589879767944935462342380
Snapshot fetched
2026-06-14 09:48:43 UTC
Snapshot age
2.3s
History points
25 CLOB mids
Page rendered
2026-06-14 09:48:45 UTC
Storage policy
no persistence — fetched on every request
SHA-256 attestation
4a986a131e537aeeb3b9419ba6d85610567c0573684d36d94c24dc3cdb0e0cc1 · deterministic hash of source snapshot
Open data licence
CC0 / public domain

§∞-2 · Related markets · explore more

Also see: /arb opportunities · RSS feed · more in Sports

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
0.015500
(best bid + best ask) / 2
Spread
645.2bp
(bestAsk − bestBid) / mid
Imbalance (whole book)
-0.691
ask-heavy
Imbalance (top-5)
-0.423
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-will-colombia-win-the-2026-fifa-world-cup-734/slippage?size=10000&side=buy

SideNotionalAvg fillSlippageWorst fillLevelsStatus
BUY$1.00K0.016000322.58bp0.0160001FILLED
BUY$10.00K0.016000322.58bp0.0160001FILLED
BUY$100.00K0.0208033421.59bp0.347000105FILLED
SELL$1.00K0.015000322.58bp0.0150001FILLED
SELL$10.00K0.015000322.58bp0.0150001FILLED
SELL$100.00K0.0057216308.75bp0.00100015PARTIAL

Risk metrics

sovereign store · 2,563 barsperiods/year ≈ 1.75M
Realized vol (annualised)
163.53%
σ per bar = 0.001235
Mean return (annualised)
-4277.37%
μ per bar = -0.000024
Sharpe (rf=0)
-26.16
annualised; risk-free assumed zero
Max drawdown
6.06%
peak 0.02 → trough 0.02 over 2442 bars

/api/asset/pm-will-colombia-win-the-2026-fifa-world-cup-734/risk · same metrics, JSON