POLYMARKET · PREDICTION MARKET · DETROIT TIGERS VS. CLEVELAND GUARDIANS
Detroit Tigers vs. Cleveland Guardians
54.5¢
45.5¢
▸ Advanced metrics · M2M bundle
polymarket · mlb-det-cle-2026-06-14 · fresh · feed 0s old24h sparkline · 60 pts▼ —
realized vol (ann.)
92.36%
max drawdown
2.78%
sharpe
—
ulcer index
1.39%
RMS drawdown
pain index
0.72%
mean drawdown
mod. VaR 95%
0.00%
Cornish-Fisher
martin ratio
—
ret / ulcer
CDaR 95%
2.78%
cond. drawdown
gain/pain
2.00
Σgain / Σ|loss|
sterling
—
ret / CDaR
omega (θ=0)
2.00
upside/downside
roll spread
0.5 bps
implied (price-only)
bars used
1542
store
spread
—
24h Δ
—
flow lean
—
carry
flat
signalNEUTRALconfidence 20%
Same bundle via M2M API:
/api/m2m/pm-mlb-det-cle-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
54.5¢
NO · live
45.5¢
25 ticks · last 70.50¢
Σ 100.00% · fair
Σ-sides total = 100.00% (tight rounding)
H(p) entropy = 0.994 / 1.00 bits (99%) · max uncertainty (~50/50)
YES54.5%54.5¢1.83×▬ +0.00pp
NO45.5%45.5¢2.20×▬ +0.00pp
Σ 100.00% · arb gap 0.00pp
Σ 2950bp moved · peak 1600bp · n=24 ticks
41ms
54.50¢ (54.50%)
45.50¢ (45.50%)
100.00%
0.000pp
$98.2k
$9.8k
25 ticks (live)
§1 · 24h price history (YES + NO tokens)
25 YES observations from clob.polymarket.com · last 70.50¢
25 NO observations from clob.polymarket.com · last 29.50¢
§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=7.28)
FIVE-NUMBER SUMMARY · BOX PLOT
SKEWNESS · G₁2.438right-skewed
−3−10+1+3
EXCESS KURTOSIS · G₂7.278leptokurtic · 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: MEAN-REVERTING · ADF rejects unit root
HURST EXPONENT [0, 1]
H = 0.812STRONGLY 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
54.50¢
45.50¢
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
YES1.83×(55¢)NO2.20×(46¢)
Kelly bet-size (% of bankroll) K* = 0.00%
Entropy H(p̂) = 0.994 bits (99% 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 · LOWresolves 2026-06-21 17:40 UTC
6days
14hrs
09min
YES →$1.00
NO →$0.00
current: $0.5450 · expected return per side: $0.45 on YES hit · $0.55 on NO hit
Theta progression · θ ∝ σ / √t_remainingθ_now = 22.990 pp/day
now6.59d left22.990 pp/day×1.00
−25%4.94d left26.547 pp/day×1.15
−50%3.29d left32.513 pp/day×1.41
−75%1.65d left45.980 pp/day×2.00
−90%15.82h left72.701 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
7 up bars · 3 down · best 16.00% · worst -2.00% · typical |Δ| 1.229%
§10 · Equity curve & underwater drawdown
final equity 1.2357 (23.57%) · max DD -2.98% · time-under-water 13/25 bars
§11 · Rolling-window statistics (w = 6 bars)
latest 43.745 · range [-11.74, 79.33] · μ 24.390 · positive Sharpe = excess-return-per-risk earned by buying-and-holding through this window
latest 600.76% · range [29.60%, 600.76%] · μ 137.32% · σ̂ scaled to annualised (×√8760)
latest -0.073 · |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)
3 of 6 REJECT · mixed evidence3 reject·3 pass·α = 0.05
Jarque-Bera
REJECT H₀***H₀: Δp ~ Normal(μ, σ²)
STATISTIC
372.6488
p-VALUE (log scale)
< 0.0001
Ljung-Box(h=5)
FAIL TO REJECTnsH₀: No serial autocorrelation up to lag 5
STATISTIC
0.4080
p-VALUE (log scale)
0.9933
Dickey-Fuller (τ_μ)
FAIL TO REJECTnsH₀: p has a unit root (non-stationary)
STATISTIC
0.8891
p-VALUE (log scale)
0.9990
Wald-Wolfowitz runs
FAIL TO REJECTnsH₀: Sign sequence of Δ is random
STATISTIC
-0.1637
p-VALUE (log scale)
0.8700
KPSS (μ stationarity)
REJECT H₀**H₀: p IS level-stationary
STATISTIC
0.8153
p-VALUE (log scale)
0.0065
Variance ratio q=3
REJECT H₀*H₀: Δp is a random walk · VR = 1
STATISTIC
-2.0910
p-VALUE (log scale)
0.0365
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 ≈ 3.43h (freq 0.292) · concentrates 16.7% of total energy · Σ|X̂|²/n = 1.464e-2
▸ Depth section using sovereign-store price series (1542 bars · effective 1753200 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 6.6 d · σ/bar 0.070pp · expected |Δp| over horizon 0.88ppterminal variance p(1−p) = 0.2480 · n = 1542✓ n = 1542
μ per bar
+0.001pp
average Δp · drift
σ per bar
0.070pp
one-bar volatility · logit-free
Per-day movedaily
0.34pp
σ × √24
Per-horizon move7d
0.88pp
σ × √158.15437500000002
Terminal variancebinary
0.2480
p(1−p) at resolution
Current pricep
54.5¢
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 0.11pp · ES₉₅ 0.14pp · method parametric · drift-correcteddrift +0.001pp/bar · quantised: yes · median step 0.50pp · unique ratio 0.00✓ n = 1542
VaR 95%
0.11pp
1.645·σ (parametric) of Δp
ES 95%
0.14pp
mean of the tail
Max drawdown
2.8pp
peak 54.0¢ → trough 52.5¢
Median step
0.50pp
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
54.5%
= price
Decimal oddsEU
1.835
total return per $1
AmericanUS
-120
risk $120 to win $100
FractionalUK
0.83 / 1
profit per $1 risked
Profit per $100stake
+$83.49
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)
0.994 bit
max 1.0 at p = 0.5
Your entropyH(q)
0.994 bit
Δ +0.000 bit vs market
Surprise · YES−log₂ p
0.88 bit
self-information
Surprise · NO−log₂(1−p)
1.14 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
12288629634122425617792181954872467680422585098128024124865951704978705497588- NO token ID
68500114350586369971933549595667263003571670130412296751402878172629738718027- Snapshot fetched
- 2026-06-15 03:30:44 UTC
- Snapshot age
- 41ms
- History points
- 25 CLOB mids
- Page rendered
- 2026-06-15 03:30:44 UTC
- Storage policy
- no persistence — fetched on every request
- SHA-256 attestation
99efa62f04b9120a71eb9a8dc94e1f1ce3294fd0353949305cdbea90ca3c084f· deterministic hash of source snapshot- Open data licence
- CC0 / public domain
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Also see: /arb opportunities · RSS feed · more in Detroit Tigers vs. Cleveland Guardians
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
0.680000
(best bid + best ask) / 2
Spread
4411.8bp
(bestAsk − bestBid) / mid
Imbalance (whole book)
+0.918
bid-heavy
Imbalance (top-5)
+0.913
bid-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-mlb-det-cle-2026-06-14/slippage?size=10000&side=buy
| Side | Notional | Avg fill | Slippage | Worst fill | Levels | Status |
|---|---|---|---|---|---|---|
| BUY | $1.00K | 0.843330 | 2401.91bp | 0.990000 | 4 | PARTIAL |
| BUY | $10.00K | 0.843330 | 2401.91bp | 0.990000 | 4 | PARTIAL |
| BUY | $100.00K | 0.843330 | 2401.91bp | 0.990000 | 4 | PARTIAL |
| SELL | $1.00K | 0.520104 | 2351.41bp | 0.520000 | 2 | FILLED |
| SELL | $10.00K | 0.484292 | 2878.07bp | 0.010000 | 10 | PARTIAL |
| SELL | $100.00K | 0.484292 | 2878.07bp | 0.010000 | 10 | PARTIAL |
Risk metrics
▸ sovereign store · 1,542 barsperiods/year ≈ 1.75MRealized vol (annualised)
173.08%
σ per bar = 0.001307
Mean return (annualised)
4253.59%
μ per bar = 0.000024
Sharpe (rf=0)
24.58
annualised; risk-free assumed zero
Max drawdown
2.78%
peak 0.54 → trough 0.53 over 200 bars
/api/asset/pm-mlb-det-cle-2026-06-14/risk · same metrics, JSON