POLYMARKET · PREDICTION MARKET · SPORTS
Counter-Strike: KOLESIE vs INOX Division (BO3) - European Pro League Series 7 Playoffs
51.0¢
49.0¢
▸ Advanced metrics · M2M bundle
polymarket · cs2-kol-inox-2026-06-20 · fresh · feed 11s old24h sparkline · 60 pts▼ —
realized vol (ann.)
1012.08%
max drawdown
30.28%
sharpe
—
ulcer index
7.09%
RMS drawdown
pain index
2.73%
mean drawdown
mod. VaR 95%
0.00%
Cornish-Fisher
martin ratio
—
ret / ulcer
CDaR 95%
24.08%
cond. drawdown
gain/pain
1.58
Σgain / Σ|loss|
sterling
—
ret / CDaR
omega (θ=0)
1.58
upside/downside
roll spread
9.2 bps
implied (price-only)
bars used
892
store
spread
—
24h Δ
—
flow lean
—
carry
flat
signalNEUTRALconfidence 20%
Same bundle via M2M API:
/api/m2m/pm-cs2-kol-inox-2026-06-20/bundle · venue execution: polymarket →LIVEPOLL0SRCWARMING⏱--:--:-- UTCNEXT8.0sUP0s--:--HIST
▶ STREAMING·HYPERLIQUID·POLYMARKET·0 POLLS·SRC WARMING·UPTIME 0s·NEXT POLL 8.0s·CC0 OPEN DATA·HYPO.MARKETS·▶ STREAMING·HYPERLIQUID·POLYMARKET·0 POLLS·SRC WARMING·UPTIME 0s·NEXT POLL 8.0s·CC0 OPEN DATA·HYPO.MARKETS·
YES · live
51.0¢
NO · live
49.0¢
18 ticks · last 62.50¢
Σ 100.00% · fair
Σ-sides total = 100.00% (tight rounding)
H(p) entropy = 1.000 / 1.00 bits (100%) · max uncertainty (~50/50)
YES51.0%51.0¢1.96×▬ +0.00pp
NO49.0%49.0¢2.04×▬ +0.00pp
Σ 100.00% · arb gap 0.00pp
Σ 4800bp moved · peak 1450bp · n=17 ticks
11.3s
51.00¢ (51.00%)
49.00¢ (49.00%)
100.00%
0.000pp
$30.9k
$16.0k
18 ticks (live)
§1 · 24h price history (YES + NO tokens)
18 YES observations from clob.polymarket.com · last 62.50¢
18 NO observations from clob.polymarket.com · last 37.50¢
§2 · Distribution of Δp
n=17
reference line = identity (perfect normality). Heavy upper-right tail = fat positive tail.
§3 · Sample moments
SAMPLE MOMENTS · N=18LEPTOKURTIC · FAT TAILS (G₂=4.04)
FIVE-NUMBER SUMMARY · BOX PLOT
SKEWNESS · G₁2.191right-skewed
−3−10+1+3
EXCESS KURTOSIS · G₂4.039leptokurtic · 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: MARTINGALE · UNPREDICTABLE
HURST EXPONENT [0, 1]
H = 0.713STRONGLY 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
51.00¢
49.00¢
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
YES1.96×(51¢)NO2.04×(49¢)
Kelly bet-size (% of bankroll) K* = 0.00%
Entropy H(p̂) = 1.000 bits (100% of max) · maximum uncertainty (~50/50)
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 2026-06-20 16:45 UTC
0days
05hrs
09min
YES →$1.00
NO →$0.00
current: $0.5100 · expected return per side: $0.49 on YES hit · $0.51 on NO hit
Theta progression · θ ∝ σ / √t_remainingθ_now = 37.071 pp/day
now5.16h left37.071 pp/day×1.00
−25%3.87h left42.806 pp/day×1.15
−50%2.58h left52.427 pp/day×1.41
−75%1.29h left74.142 pp/day×2.00
−90%0.52h left117.229 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
8 up bars · 3 down · best 14.50% · worst -13.00% · typical |Δ| 2.824%
§10 · Equity curve & underwater drawdown
final equity 1.1439 (14.39%) · max DD -13.89% · time-under-water 16/18 bars
§11 · Rolling-window statistics (w = 4 bars)
latest 86.172 · range [-42.01, 86.17] · μ 27.901 · positive Sharpe = excess-return-per-risk earned by buying-and-holding through this window
latest 686.19% · range [54.04%, 686.19%] · μ 205.85% · σ̂ scaled to annualised (×√8760)
latest 0.270 · |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
11.3858
p-VALUE (log scale)
0.0034
Ljung-Box(h=5)
FAIL TO REJECTnsH₀: No serial autocorrelation up to lag 5
STATISTIC
1.9417
p-VALUE (log scale)
0.8581
Dickey-Fuller (τ_μ)
FAIL TO REJECTnsH₀: p has a unit root (non-stationary)
STATISTIC
0.3434
p-VALUE (log scale)
0.9796
Wald-Wolfowitz runs
FAIL TO REJECTnsH₀: Sign sequence of Δ is random
STATISTIC
0.5253
p-VALUE (log scale)
0.5994
KPSS (μ stationarity)
FAIL TO REJECTnsH₀: p IS level-stationary
STATISTIC
0.3194
p-VALUE (log scale)
0.1482
Variance ratio q=2
FAIL TO REJECTnsH₀: Δp is a random walk · VR = 1
STATISTIC
-0.0553
p-VALUE (log scale)
0.9559
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 ≈ 3.40h (freq 0.294) · concentrates 22.5% of total energy · Σ|X̂|²/n = 2.540e-2
▸ Depth section using sovereign-store price series (892 bars · effective 1752713 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 0.765pp · expected |Δp| over horizon 1.87ppterminal variance p(1−p) = 0.2499 · n = 892✓ n = 892
μ per bar
+0.017pp
average Δp · drift
σ per bar
0.765pp
one-bar volatility · logit-free
Per-day movedaily
3.75pp
σ × √24
Per-horizon move0d
1.87pp
σ × √6
Terminal variancebinary
0.2499
p(1−p) at resolution
Current pricep
51.0¢
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 1.24pp · ES₉₅ 1.56pp · method parametric · drift-correcteddrift +0.017pp/bar · quantised: yes · median step 1.00pp · unique ratio 0.01✓ n = 892
VaR 95%
1.24pp
1.645·σ (parametric) of Δp
ES 95%
1.56pp
mean of the tail
Max drawdown
30.3pp
peak 54.5¢ → trough 38.0¢
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
51.0%
= price
Decimal oddsEU
1.961
total return per $1
AmericanUS
-104
risk $104 to win $100
FractionalUK
0.96 / 1
profit per $1 risked
Profit per $100stake
+$96.08
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)
1.000 bit
max 1.0 at p = 0.5
Your entropyH(q)
1.000 bit
Δ +0.000 bit vs market
Surprise · YES−log₂ p
0.97 bit
self-information
Surprise · NO−log₂(1−p)
1.03 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
84887700350996053680662305155500474378598128858777458917115762303256566803056- NO token ID
806719784571923862322605562181405170590050638281021754170569336593851376614- Snapshot fetched
- 2026-06-20 11:35:14 UTC
- Snapshot age
- 11.3s
- History points
- 18 CLOB mids
- Page rendered
- 2026-06-20 11:35:26 UTC
- Storage policy
- no persistence — fetched on every request
- SHA-256 attestation
88f11775baf0b75d747dbc27c2f9951ef4cdcccf19d03c97e8a1cc8f5bc64a60· deterministic hash of source snapshot- Open data licence
- CC0 / public domain
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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
0.625000
(best bid + best ask) / 2
Spread
160.0bp
(bestAsk − bestBid) / mid
Imbalance (whole book)
+0.442
bid-heavy
Imbalance (top-5)
-0.803
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-cs2-kol-inox-2026-06-20/slippage?size=10000&side=buy
| Side | Notional | Avg fill | Slippage | Worst fill | Levels | Status |
|---|---|---|---|---|---|---|
| BUY | $1.00K | 0.672648 | 762.37bp | 0.700000 | 6 | FILLED |
| BUY | $10.00K | 0.900828 | 4413.25bp | 0.990000 | 21 | FILLED |
| BUY | $100.00K | 0.980296 | 5684.74bp | 0.990000 | 21 | FILLED |
| SELL | $1.00K | 0.424393 | 3209.71bp | 0.320000 | 19 | FILLED |
| SELL | $10.00K | 0.029425 | 9529.20bp | 0.010000 | 32 | PARTIAL |
| SELL | $100.00K | 0.029425 | 9529.20bp | 0.010000 | 32 | PARTIAL |
Risk metrics
▸ sovereign store · 892 barsperiods/year ≈ 1.75MRealized vol (annualised)
2272.66%
σ per bar = 0.017166
Mean return (annualised)
71267.74%
μ per bar = 0.000407
Sharpe (rf=0)
31.36
annualised; risk-free assumed zero
Max drawdown
30.28%
peak 0.55 → trough 0.38 over 50 bars
/api/asset/pm-cs2-kol-inox-2026-06-20/risk · same metrics, JSON