POLYMARKET · PREDICTION MARKET · SPORTS
Valorant: Leviatán Esports vs Team Heretics (BO3) - VCT Masters London Playoffs
67.5¢
32.5¢
▸ Advanced metrics · M2M bundle
polymarket · val-lev1-th1-2026-06-14 · fresh · feed 0s old24h sparkline · 60 pts▼ —
realized vol (ann.)
737.26%
max drawdown
32.68%
sharpe
—
ulcer index
7.96%
RMS drawdown
pain index
5.26%
mean drawdown
mod. VaR 95%
0.00%
Cornish-Fisher
martin ratio
—
ret / ulcer
CDaR 95%
23.23%
cond. drawdown
gain/pain
1.19
Σgain / Σ|loss|
sterling
—
ret / CDaR
omega (θ=0)
1.19
upside/downside
roll spread
1.1 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-val-lev1-th1-2026-06-14/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
67.5¢
NO · live
32.5¢
25 ticks · last 73.00¢
Σ 100.00% · fair
Σ-sides total = 100.00% (tight rounding)
H(p) entropy = 0.910 / 1.00 bits (91%) · high uncertainty
YES67.5%67.5¢1.48×▬ +0.00pp
NO32.5%32.5¢3.08×▬ +0.00pp
Σ 100.00% · arb gap 0.00pp
Σ 3600bp moved · peak 1900bp · n=24 ticks
2ms
67.50¢ (67.50%)
32.50¢ (32.50%)
100.00%
0.000pp
$454.2k
$24.7k
25 ticks (live)
§1 · 24h price history (YES + NO tokens)
25 YES observations from clob.polymarket.com · last 73.00¢
25 NO observations from clob.polymarket.com · last 32.50¢
§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=2.31)
FIVE-NUMBER SUMMARY · BOX PLOT
SKEWNESS · G₁1.919right-skewed
−3−10+1+3
EXCESS KURTOSIS · G₂2.313leptokurtic · 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: TRENDING · variance ratio > 1
HURST EXPONENT [0, 1]
H = 0.990STRONGLY PERSISTENT
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
67.50¢
32.50¢
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
YES1.48×(68¢)NO3.08×(32¢)
Kelly bet-size (% of bankroll) K* = 0.00%
Entropy H(p̂) = 0.910 bits (91% of max) · high 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.
§8 · Time decay & θ projection
⏱ URGENCY · VERY HIGHresolves 2026-06-14 20:00 UTC
0days
03hrs
56min
YES →$1.00
NO →$0.00
current: $0.6750 · expected return per side: $0.32 on YES hit · $0.68 on NO hit
Theta progression · θ ∝ σ / √t_remainingθ_now = 34.178 pp/day
now3.93h left34.178 pp/day×1.00
−25%2.95h left39.466 pp/day×1.15
−50%1.97h left48.335 pp/day×1.41
−75%0.98h left68.357 pp/day×2.00
−90%0.39h left108.081 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
5 up bars · 8 down · best 19.00% · worst -3.00% · typical |Δ| 1.500%
§10 · Equity curve & underwater drawdown
final equity 1.1762 (17.62%) · max DD -6.36% · time-under-water 22/25 bars
§11 · Rolling-window statistics (w = 6 bars)
latest 45.898 · range [-85.44, 47.25] · μ -12.918 · positive Sharpe = excess-return-per-risk earned by buying-and-holding through this window
latest 715.71% · range [39.15%, 721.60%] · μ 194.52% · σ̂ scaled to annualised (×√8760)
latest -0.034 · |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)
1 of 6 REJECT · mixed evidence1 reject·5 pass·α = 0.05
Jarque-Bera
REJECT H₀***H₀: Δp ~ Normal(μ, σ²)
STATISTIC
447.5060
p-VALUE (log scale)
< 0.0001
Ljung-Box(h=5)
FAIL TO REJECTnsH₀: No serial autocorrelation up to lag 5
STATISTIC
1.3209
p-VALUE (log scale)
0.9317
Dickey-Fuller (τ_μ)
FAIL TO REJECTnsH₀: p has a unit root (non-stationary)
STATISTIC
-0.1743
p-VALUE (log scale)
0.9359
Wald-Wolfowitz runs
FAIL TO REJECTnsH₀: Sign sequence of Δ is random
STATISTIC
-0.0946
p-VALUE (log scale)
0.9246
KPSS (μ stationarity)
FAIL TO REJECTnsH₀: p IS level-stationary
STATISTIC
0.2533
p-VALUE (log scale)
0.2637
Variance ratio q=3
FAIL TO REJECTnsH₀: Δp is a random walk · VR = 1
STATISTIC
1.1000
p-VALUE (log scale)
0.2714
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 ≈ 4.80h (freq 0.208) · concentrates 14.1% of total energy · Σ|X̂|²/n = 1.999e-2
▸ Depth section using sovereign-store price series (2670 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 0.482pp · expected |Δp| over horizon 1.18ppterminal variance p(1−p) = 0.2428 · n = 2670✓ n = 2670
μ per bar
+0.002pp
average Δp · drift
σ per bar
0.482pp
one-bar volatility · logit-free
Per-day movedaily
2.36pp
σ × √24
Per-horizon move0d
1.18pp
σ × √6
Terminal variancebinary
0.2428
p(1−p) at resolution
Current pricep
58.5¢
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
VaR₉₅ 0.79pp · ES₉₅ 0.99pp · method parametric · drift-correcteddrift +0.002pp/bar · quantised: yes · median step 1.00pp · unique ratio 0.00✓ n = 2670
VaR 95%
0.79pp
1.645·σ (parametric) of Δp
ES 95%
0.99pp
mean of the tail
Max drawdown
32.7pp
peak 76.5¢ → trough 51.5¢
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
Implied probabilityP
67.5%
= price
Decimal oddsEU
1.481
total return per $1
AmericanUS
-208
risk $208 to win $100
FractionalUK
0.48 / 1
profit per $1 risked
Profit per $100stake
+$48.15
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)
0.910 bit
max 1.0 at p = 0.5
Your entropyH(q)
0.910 bit
Δ +0.000 bit vs market
Surprise · YES−log₂ p
0.57 bit
self-information
Surprise · NO−log₂(1−p)
1.62 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
88595685859953683802450406868426628857415111838790053060622993697195728250560- NO token ID
54131937052222023773396919476158234281850263930494172804245669506144496618956- Snapshot fetched
- 2026-06-14 16:03:58 UTC
- Snapshot age
- 2ms
- History points
- 25 CLOB mids
- Page rendered
- 2026-06-14 16:03:58 UTC
- Storage policy
- no persistence — fetched on every request
- SHA-256 attestation
ee3cfab0118527e3385729bd6d7013a8bd38672f1bc55836921d96b93c0fc87a· deterministic hash of source snapshot- Open data licence
- CC0 / public domain
§∞-2 · Related markets · explore more
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Also see: /arb opportunities · RSS feed · more in Sports
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
0.675000
(best bid + best ask) / 2
Spread
148.1bp
(bestAsk − bestBid) / mid
Imbalance (whole book)
+0.403
bid-heavy
Imbalance (top-5)
-0.789
ask-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-val-lev1-th1-2026-06-14/slippage?size=10000&side=buy
| Side | Notional | Avg fill | Slippage | Worst fill | Levels | Status |
|---|---|---|---|---|---|---|
| BUY | $1.00K | 0.682020 | 104.01bp | 0.690000 | 2 | FILLED |
| BUY | $10.00K | 0.706794 | 471.02bp | 0.720000 | 5 | FILLED |
| BUY | $100.00K | 0.939673 | 3921.08bp | 0.990000 | 23 | PARTIAL |
| SELL | $1.00K | 0.648320 | 395.26bp | 0.630000 | 5 | FILLED |
| SELL | $10.00K | 0.390796 | 4210.44bp | 0.100000 | 33 | FILLED |
| SELL | $100.00K | 0.063536 | 9058.73bp | 0.010000 | 38 | PARTIAL |
Risk metrics
▸ sovereign store · 2,670 barsperiods/year ≈ 1.75MRealized vol (annualised)
1030.26%
σ per bar = 0.007782
Mean return (annualised)
5867.88%
μ per bar = 0.000033
Sharpe (rf=0)
5.70
annualised; risk-free assumed zero
Max drawdown
32.68%
peak 0.77 → trough 0.52 over 150 bars
/api/asset/pm-val-lev1-th1-2026-06-14/risk · same metrics, JSON