KALSHI · CFTC-CLEARED BINARY CONTRACT · SPORTS

Will Los Angeles D win the 2026 Pro Baseball Championship?

YES · live
30.4¢
NO · live
70.5¢

▸ Advanced metrics · M2M bundle

kalshi · kxmlb-26-lad · fresh · feed 3s old
24h sparkline · 60 pts
realized vol (ann.)
186.37%
max drawdown
6.58%
sharpe
ulcer index
2.70%
RMS drawdown
pain index
1.52%
mean drawdown
mod. VaR 95%
0.39%
Cornish-Fisher
martin ratio
ret / ulcer
CDaR 95%
5.62%
cond. drawdown
gain/pain
1.00
Σgain / Σ|loss|
sterling
ret / CDaR
omega (θ=0)
1.00
upside/downside
roll spread
117.7 bps
implied (price-only)
bars used
208
store
spread
645.2 bps
24h Δ
flow lean
carry
flat
signalNEUTRALconfidence 20%
Same bundle via M2M API: /api/m2m/kalshi-kxmlb-26-lad/bundle · venue execution: kalshi
LIVEPOLL0SRCFRESH3.4s--:--:-- 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
30.4¢
NO · live
70.5¢
YES price · live 24h (Kalshi candlesticks)
no history
no history
YES / NO split · live
YES 30.1%NO 69.9%NO69.9%70.55¢ · odds 1/1.42
Σ 100.95% · moderate
Σ-sides total = 100.95% (0.95pp arb gap)
H(p) entropy = 0.883 / 1.00 bits (88%) · high uncertainty
YES
30.1%30.4¢3.29× +0.00pp
NO
69.9%70.5¢1.42× +0.00pp
Σ 100.95% · arb gap 0.95pp
Live numerics · pulse on poll
LIVE NUMERICS9 metrics·POLL 0
snapshot age
3.4s
·ticker
KXMLB-26-LAD
YES bid
28.50¢
YES ask
30.40¢
ΣΣ sides
100.95%
arb gap
0.950pp
$24h vol $
$2.4k
open interest $
$1.0M
history points
0 bars (live)

§1 · Quote

Ticker
KXMLB-26-LAD
Event ticker
KXMLB-26
YES bid / ask
28.50¢ / 30.40¢ (spread 1.90pp)
NO bid / ask
69.60¢ / 71.50¢
Last YES
30.40¢
Σ-sides
100.95% (arb gap 0.95pp)

§2 · Activity

Volume 24h
$2.39k
Volume total
$538.67k
Open interest
$1.03M
Liquidity
$0.00
Close time
2028-10-31T04:00:00Z · 863.6d from now
Status
active

§3 · Resolution rules

If Los Angeles D wins the 2026 Pro Baseball Championship, then the market resolves to Yes.

▸ Depth section using sovereign-store price series (591 bars · effective 347249 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 863.6 d · σ/bar 0.564pp · expected |Δp| over horizon 81.13ppterminal variance p(1−p) = 0.2116 · n = 591n = 591
μ per bar
+0.001pp
average Δp · drift
σ per bar
0.564pp
one-bar volatility · logit-free
Per-day movedaily
2.76pp
σ × √24
Per-horizon move864d
81.13pp
σ × √20727.473290555557
Terminal variancebinary
0.2116
p(1−p) at resolution
Current pricep
30.4¢
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 0.93pp · ES₉₅ 1.16pp · method parametric · drift-correcteddrift +0.001pp/bar · quantised: yes · median step 0.10pp · unique ratio 0.04n = 591
VaR 95%
0.93pp
1.645·σ (parametric) of Δp
ES 95%
1.16pp
mean of the tail
Max drawdown
8.8pp
peak 30.6¢ → trough 27.9¢
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
30.4%
= price
Decimal oddsEU
3.289
total return per $1
AmericanUS
+229
$100 wins $229
FractionalUK
2.29 / 1
profit per $1 risked
Profit per $100stake
+$228.95
clean dollar framing
-1000-5000+500+1000020406080100you · 30.4%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)
0.886 bit
max 1.0 at p = 0.5
Your entropyH(q)
0.886 bit
Δ +0.000 bit vs market
Surprise · YES−log₂ p
1.72 bit
self-information
Surprise · NO−log₂(1−p)
0.52 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 12:31:32 UTC
Snapshot age
3.4s
SHA-256 attestation
4f1fa715100c1a6538496c3f8ffa3d0e7c3dae1edc2d7c9935454d09e63c4b21 · 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 · 591 barsperiods/year ≈ 347.2K
Realized vol (annualised)
1134.82%
σ per bar = 0.019258
Mean return (annualised)
779.56%
μ per bar = 0.000022
Sharpe (rf=0)
0.69
annualised; risk-free assumed zero
Max drawdown
8.82%
peak 0.31 → trough 0.28 over 41 bars

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