KALSHI · CFTC-CLEARED BINARY CONTRACT · SPORTS

Will Arizona win the 2026 Pro Baseball Championship?

YES · live
1.3¢
NO · live
99.0¢

▸ Advanced metrics · M2M bundle

kalshi · kxmlb-26-az · fresh · feed 1m old
24h sparkline · 60 pts
realized vol (ann.)
48.24%
max drawdown
50.00%
sharpe
ulcer index
10.14%
RMS drawdown
pain index
3.85%
mean drawdown
mod. VaR 95%
0.01%
Cornish-Fisher
martin ratio
ret / ulcer
CDaR 95%
40.48%
cond. drawdown
gain/pain
1.31
Σgain / Σ|loss|
sterling
ret / CDaR
omega (θ=0)
1.31
upside/downside
roll spread
697.0 bps
implied (price-only)
bars used
180
store
spread
4000.0 bps
24h Δ
flow lean
carry
flat
signalNEUTRALconfidence 20%
Same bundle via M2M API: /api/m2m/kalshi-kxmlb-26-az/bundle · venue execution: kalshi
LIVEPOLL0SRCWARMING1.4m--:--:-- UTC8NEXT8.0sUP0s--:--HIST0/30
▶ 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
1.3¢
NO · live
99.0¢
YES price · live 24h (Kalshi candlesticks)
no history
no history
YES / NO split · live
YES 1.3%NO 98.7%NO98.7%99.00¢ · odds 1/1.01
Σ 100.30% · fair
Σ-sides total = 100.30% (tight rounding)
H(p) entropy = 0.100 / 1.00 bits (10%) · informative — one side favoured
YES
1.3%1.3¢76.92× +0.00pp
NO
98.7%99.0¢1.01× +0.00pp
Σ 100.30% · arb gap 0.30pp
Live numerics · pulse on poll
LIVE NUMERICS9 metrics·POLL 0
snapshot age
1.4m
·ticker
KXMLB-26-AZ
YES bid
0.80¢
YES ask
1.20¢
ΣΣ sides
100.30%
arb gap
0.300pp
$24h vol $
$270.1
open interest $
$542.0k
history points
0 bars (live)

§1 · Quote

Ticker
KXMLB-26-AZ
Event ticker
KXMLB-26
YES bid / ask
0.80¢ / 1.20¢ (spread 0.40pp)
NO bid / ask
98.80¢ / 99.20¢
Last YES
1.30¢
Σ-sides
100.30% (arb gap 0.30pp)

§2 · Activity

Volume 24h
$270.12
Volume total
$8.35k
Open interest
$542.03k
Liquidity
$0.00
Close time
2028-10-31T04:00:00Z · 863.7d from now
Status
active

§3 · Resolution rules

If Arizona wins the 2026 Pro Baseball Championship, then the market resolves to Yes.

▸ Depth section using sovereign-store price series (495 bars · effective 347535 bars/year) — annualisation reflects native polling cadence, not upstream timeframes.

§4 · 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 →

§5 · Horizon returns

Returns · per bar / per day / per horizon
Horizon 863.7 d · σ/bar 0.053pp · expected |Δp| over horizon 7.67ppterminal variance p(1−p) = 0.0128 · n = 495n = 495
μ per bar
+0.001pp
average Δp · drift
σ per bar
0.053pp
one-bar volatility · logit-free
Per-day movedaily
0.26pp
σ × √24
Per-horizon move864d
7.67pp
σ × √20728.567308055557
Terminal variancebinary
0.0128
p(1−p) at resolution
Current pricep
1.3¢
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.

§6 · Tail risk

VaR · ES · max drawdown
VaR₉₅ 0.09pp · ES₉₅ 0.11pp · method parametric · drift-correcteddrift +0.001pp/bar · quantised: yes · median step 0.10pp · unique ratio 0.02n = 495
VaR 95%
0.09pp
1.645·σ (parametric) of Δp
ES 95%
0.11pp
mean of the tail
Max drawdown
50.0pp
peak 1.4¢ → trough 0.7¢
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.

§7 · Odds conversion

Odds conversion · every dialect a bettor thinks in
Implied probabilityP
1.3%
= price
Decimal oddsEU
76.923
total return per $1
AmericanUS
+7592
$100 wins $7592
FractionalUK
75.92 / 1
profit per $1 risked
Profit per $100stake
+$7592.31
clean dollar framing
-1000-5000+500+1000020406080100you · 1.3%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.

§8 · Binary entropy

Binary entropy · uncertainty as bits of information
Market entropyH(p)
0.100 bit
max 1.0 at p = 0.5
Your entropyH(q)
0.100 bit
Δ +0.000 bit vs market
Surprise · YES−log₂ p
6.27 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.

§9 · 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

Snapshot fetched
2026-06-20 11:24:36 UTC
Snapshot age
1.4m
SHA-256 attestation
a2d002095f77f5d72f593c84fe14992abd7baf00034352622a841dd6bea8c5c5 · deterministic hash of the source snapshot — proves this page was rendered from this exact data
Open data licence
CC0 / public domain · free to mirror, syndicate, analyse

Risk metrics

sovereign store · 495 barsperiods/year ≈ 347.5K
Realized vol (annualised)
3090.59%
σ per bar = 0.052425
Mean return (annualised)
25869.91%
μ per bar = 0.000744
Sharpe (rf=0)
8.37
annualised; risk-free assumed zero
Max drawdown
50.00%
peak 0.01 → trough 0.01 over 17 bars

/api/asset/kalshi-kxmlb-26-az/risk · same metrics, JSON